spb/wp17_uqo

1sample_id,frame,stratum,decile,chunk_id,accession_number,cik,ticker,company_name,sector,sub_industry,form_type,filing_date,fiscal_year,section_name,chunk_order,word_count,char_count,text_truncated_2000,score_ai_adoption,score_ai_infrastructure,score_ai_disruption_risk,score_cybersecurity,score_automation_labor,chunk_composite,n_core,n_ext,special,text,label_ai_substantive,label_ai_mention,label_boilerplate,label_topic,reader,notes2N1-01601,D_top_by_year,2010,0,dca69f60-0dd0-460f-8172-51068a12cc29,0001104659-10-027974,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2010-05-12,2010,full_body,64,553,4085,True,0.55504,0.50067,0.42674,0.38826,0.42191,5.93285,0,2,,"Acquire even deeper industry expertise The future of analytics3value will be at the intersection of: deep industry expertise predictive4models massive scale analytics Announced today: IBM Research will double5industry leading analytics research capabilities within 2 years67Cloud8Computing: Innovation and Impacts 2008 2009 2010 2015 Services Products9Research Extreme automation Highly differentiated platform as a service Fine10grained cloud security Seamless secure operations across private & public11cloud Integrated risk management Healthcare transformation Smart grid12optimization Key Future Technologies Industry solutions over the cloud13Operational IT services OSS and BSS prototypes Image management VM placement14Pattern composition Files (Cattail) Charts (Many Eyes) Slide Library &15EventMaps Virtual Storage Cloud WebSphere Cloudburst1617Traditional Web18Spoken Web Growth Markets – Spoken Web A Parallel Web for the Masses19Questions Farmer Expert/ Business info “Improved average yield output after20using pesticides I got to know from this service” Answers Post VOICE21Information Hyperlinked Voice Sites Post Web Text Pages Search query Web22pages2324Margin25Expansion – Services Delivery Client Value ( + IBM Margin) 2005 201026Productivity Quality Client Value and Delivery Transformation 2015 Global27dispatch Application assembly optimization Proactive defect prevention Client28touchpoint visibility Initial cloud delivery Deep Analytics on client29business data Delivery on Hybrid Cloud Private Public3031Margin32Expansion – Support of Software Success Visualization Text analytics Industry33applications Faster/broader solver for experts; application developer tools34Industry applications, cloud delivery Unified business rules language Social35media analytics Advanced predictive churn capabilities New data mining and36statistics algorithms built on the SPSS component framework Support of37Acquisitions New Technologies “Upper” Middleware Client-Controlled Cloud (C3)38Multicore Programming Model I",,,,,,39N1-01602,D_top_by_year,2010,0,d2474db3-bda8-4b03-a4d6-97731886dd29,0001104659-10-027974,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2010-05-12,2010,full_body,65,567,4185,True,0.55504,0.50067,0.42674,0.38826,0.42191,5.93285,0,2,,"Acquire even deeper industry expertise The future of analytics40value will be at the intersection of: deep industry expertise predictive41models massive scale analytics Announced today: IBM Research will double42industry leading analytics research capabilities within 2 years4344Cloud45Computing: Innovation and Impacts 2008 2009 2010 2015 Services Products46Research Extreme automation Highly differentiated platform as a service Fine47grained cloud security Seamless secure operations across private & public48cloud Integrated risk management Healthcare transformation Smart grid49optimization Key Future Technologies Industry solutions over the cloud50Operational IT services OSS and BSS prototypes Image management VM placement51Pattern composition Files (Cattail) Charts (Many Eyes) Slide Library &52EventMaps Virtual Storage Cloud WebSphere Cloudburst5354Traditional Web55Spoken Web Growth Markets – Spoken Web A Parallel Web for the Masses56Questions Farmer Expert/ Business info “Improved average yield output after57using pesticides I got to know from this service” Answers Post VOICE58Information Hyperlinked Voice Sites Post Web Text Pages Search query Web59pages6061Margin62Expansion – Services Delivery Client Value ( + IBM Margin) 2005 201063Productivity Quality Client Value and Delivery Transformation 2015 Global64dispatch Application assembly optimization Proactive defect prevention Client65touchpoint visibility Initial cloud delivery Deep Analytics on client66business data Delivery on Hybrid Cloud Private Public6768Margin69Expansion – Support of Software Success Visualization Text analytics Industry70applications Faster/broader solver for experts; application developer tools71Industry applications, cloud delivery Unified business rules language Social72media analytics Advanced predictive churn capabilities New data mining and73statistics algorithms built on the SPSS component framework Support of74Acquisitions New Technologies “Upper” Middleware Client-Controlled Cloud (C3)75Multicore Programming Model I",,,,,,76N1-01603,D_top_by_year,2010,0,aa3d08de-d434-4c10-b128-d771cdb4a9fc,0001104659-10-027974,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2010-05-12,2010,full_body,66,583,4275,True,0.55504,0.50067,0.42674,0.38826,0.42191,5.93285,0,2,,"Acquire even deeper industry expertise The future of analytics77value will be at the intersection of: deep industry expertise predictive78models massive scale analytics Announced today: IBM Research will double79industry leading analytics research capabilities within 2 years8081Cloud82Computing: Innovation and Impacts 2008 2009 2010 2015 Services Products83Research Extreme automation Highly differentiated platform as a service Fine84grained cloud security Seamless secure operations across private & public85cloud Integrated risk management Healthcare transformation Smart grid86optimization Key Future Technologies Industry solutions over the cloud87Operational IT services OSS and BSS prototypes Image management VM placement88Pattern composition Files (Cattail) Charts (Many Eyes) Slide Library &89EventMaps Virtual Storage Cloud WebSphere Cloudburst9091Traditional Web92Spoken Web Growth Markets – Spoken Web A Parallel Web for the Masses93Questions Farmer Expert/ Business info “Improved average yield output after94using pesticides I got to know from this service” Answers Post VOICE95Information Hyperlinked Voice Sites Post Web Text Pages Search query Web96pages9798Margin99Expansion – Services Delivery Client Value ( + IBM Margin) 2005 2010100Productivity Quality Client Value and Delivery Transformation 2015 Global101dispatch Application assembly optimization Proactive defect prevention Client102touchpoint visibility Initial cloud delivery Deep Analytics on client103business data Delivery on Hybrid Cloud Private Public104105Margin106Expansion – Support of Software Success Visualization Text analytics Industry107applications Faster/broader solver for experts; application developer tools108Industry applications, cloud delivery Unified business rules language Social109media analytics Advanced predictive churn capabilities New data mining and110statistics algorithms built on the SPSS component framework Support of111Acquisitions New Technologies “Upper” Middleware Client-Controlled Cloud (C3)112Multicore Programming Model I",,,,,,113N1-01604,D_top_by_year,2010,0,2c9b3b3d-a586-4ed5-ac7f-c7fdbb8b3687,0001104659-10-027974,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2010-05-12,2010,full_body,67,606,4411,True,0.55504,0.50067,0.42674,0.38826,0.42191,5.93285,0,2,,"Acquire even deeper industry expertise The future of analytics114value will be at the intersection of: deep industry expertise predictive115models massive scale analytics Announced today: IBM Research will double116industry leading analytics research capabilities within 2 years117118Cloud119Computing: Innovation and Impacts 2008 2009 2010 2015 Services Products120Research Extreme automation Highly differentiated platform as a service Fine121grained cloud security Seamless secure operations across private & public122cloud Integrated risk management Healthcare transformation Smart grid123optimization Key Future Technologies Industry solutions over the cloud124Operational IT services OSS and BSS prototypes Image management VM placement125Pattern composition Files (Cattail) Charts (Many Eyes) Slide Library &126EventMaps Virtual Storage Cloud WebSphere Cloudburst127128Traditional Web129Spoken Web Growth Markets – Spoken Web A Parallel Web for the Masses130Questions Farmer Expert/ Business info “Improved average yield output after131using pesticides I got to know from this service” Answers Post VOICE132Information Hyperlinked Voice Sites Post Web Text Pages Search query Web133pages134135Margin136Expansion – Services Delivery Client Value ( + IBM Margin) 2005 2010137Productivity Quality Client Value and Delivery Transformation 2015 Global138dispatch Application assembly optimization Proactive defect prevention Client139touchpoint visibility Initial cloud delivery Deep Analytics on client140business data Delivery on Hybrid Cloud Private Public141142Margin143Expansion – Support of Software Success Visualization Text analytics Industry144applications Faster/broader solver for experts; application developer tools145Industry applications, cloud delivery Unified business rules language Social146media analytics Advanced predictive churn capabilities New data mining and147statistics algorithms built on the SPSS component framework Support of148Acquisitions New Technologies “Upper” Middleware Client-Controlled Cloud (C3)149Multicore Programming Model I",,,,,,150N1-01605,D_top_by_year,2010,0,dbf356fe-792d-4783-a7b0-5ddcd8a80f67,0001104659-10-002154,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2010-01-20,2010,full_body,3,491,3031,True,0.52705,0.48295,0.50534,0.32017,0.28446,5.63190,0,1,,"These151actions are reducing our fixed cost base and improving the operational balance152point. This will provide a real153advantage as the spending environment improves, with solid operating leverage154off of our now leaner cost base. Third,155our strong margins and profitability enable us to make significant investments156for growth. We157have been investing to capture the opportunity in the emerging markets — as158these countries build out their public and private infrastructures. In 2009, while the economic environment159slowed globally, our revenue growth in the growth markets remained 8 points160faster than the majors. We’ve161been162163investing in capabilities164that differentiate IBM and accelerate the development of new market165opportunities, areas like business analytics, and cloud computing, and smarter166planet. In1672009 we invested almost $6 billion in research and development, to strengthen168our technology leadership. Last169week we announced that for the 17170th171consecutive172year we were #1 in U.S. patents, with over 4900 in 2009. That’s more than the total of Microsoft, HP,173Oracle, Apple, Accenture and Google combined. And consistent with our shift in business mix, about 70 percent of our174patent portfolio is for software and services. We’ve175complemented our organic investments with acquisitions, and one of our primary176investment areas is business analytics, which provides a solid platform for our177Smarter Planet initiatives. Since 2005,178we’ve invested $10 billion, or $8 and a half billion net, in 14 strategic179acquisitions to build our business analytics capabilities. These acquisitions delivered strong results180in 2009, generating 9 percent revenue growth at constant currency. 6181182So183over the last decade, we’ve driven a significant transformation of our business, and we’ll continue to shift to184higher value areas, improve efficiency of our business, and invest where we see185the best long term opportunities. All186of this positions us for growth as we move into 2010. Now187I’ll turn to the detail",,,,,,188N1-01606,D_top_by_year,2010,0,66f49bc9-88d6-4d81-9a88-4b48f027f357,0000950123-10-015237,0000050863,INTC,Intel,Information Technology,Semiconductors,10-K,2010-02-22,2010,business,9,512,3524,True,0.46344,0.50766,0.43325,0.34902,0.30524,5.35880,0,0,,"to ensure a portion of our silicon supply. Our products are typically produced at multiple Intel facilities at various sites around the world, or by subcontractors who have multiple facilities. However, some products are produced in only one Intel or subcontractor facility, and we seek to implement actions and plans to reduce the exposure that would result from a disruption at any such facility. See “Risk Factors” in Part I, Item 1A of this Form 10-K. Research and Development We are committed to investing in world-class technology development, particularly in the design and manufacture of integrated circuits. Research and development (R&D) expenditures in 2009 were $5.7 billion ($5.7 billion in 2008 and $5.8 billion in 2007). Our R&D activities are directed toward developing the technology innovations that we believe will deliver our next generation of products and platforms, which will in turn enable new form factors and new usage models for businesses and consumers. Our R&D activities range from designing and developing products, to developing and refining manufacturing processes, to researching future technologies and products. We are focusing our R&D efforts on advanced computing technologies, developing new microarchitectures, advancing our silicon manufacturing process technology, delivering the next generation of microprocessors and chipsets, improving our platform initiatives, and developing software solutions and tools to support our technologies. Our R&D efforts enable new levels of performance and address areas such as energy efficiency, scalability for multi-core architectures, system manageability and security, and ease of use. We continue to make significant R&D investments in the development of SoCs to enable growth in areas such as handhelds (including MIDs and smartphones), embedded applications, and consumer electronics. In addition, we continue to make significant investments in graphics and wireless technologies. As part of our R&D efforts, we pl",,,,,,189N1-01607,D_top_by_year,2010,0,aea55c3b-c715-4e93-9b4e-3c7aa0afcc97,0001193125-10-032740,0000858877,CSCO,Cisco,Information Technology,Communications Equipment,10-Q,2010-02-17,2010,md_and_a,1,512,3453,True,0.46013,0.50809,0.47397,0.26325,0.42368,5.33917,0,0,,"networking capabilities while continuing to expand into product markets similar, related, or adjacent to those in which we currently are active, which we refer to as market adjacencies. We have continued our focus on our core networking capabilities and have expanded our movement into market adjacencies primarily through the realignment of resources, while simultaneously reducing our operating expenses as a percentage of revenue. We refer to the evolutionary process by which adjacencies arise as market transitions. Specifically, we believe the key market transitions currently taking place in our industry pertain to virtualization, video, and collaboration. Virtualization is the process of aggregating the current siloed data center resources into unified, shared resource pools that can be dynamically delivered to applications on demand thus providing the ability to move content and applications between devices and the network. Due to changing technology trends such as the increasing adoption of virtualization and the rise in scalable processing, a significant market transition appears to be under way in the enterprise data center market. We believe the market is at an inflection point, as awareness grows that intelligent networks are becoming the platform for productivity improvement and global competitiveness. We further believe that disruption in the enterprise data center market will accelerate in the next several months. This market transition is being brought about through the convergence of networking, computing, storage, and software technologies. We are seeking to capitalize on this market transition through, among other things, our Cisco Unified Computing System and Cisco Nexus product families, which are designed to integrate the previously siloed technologies in the enterprise data center with a unified architecture. 39 Table of Contents The competitive landscape in our markets has changed, and we expect there will be a new class of very large, well-financ",,,,,,190N1-01608,D_top_by_year,2010,0,4ae42136-aabf-46d9-a8fa-484f2e358801,0001104659-10-027974,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2010-05-12,2010,full_body,44,465,3202,True,0.42400,0.54148,0.42372,0.38354,0.41549,5.30644,0,2,,"Shared191industry clouds appear attractive to many clients. IBM is uniquely positioned192to address new opportunities with cloud computing193194Opportunities195result from global industry transformations which drive cost and complexity196of IT Healthcare – There are over 4M too few doctors, nurses and support197workers to meet existing demand. 1 out of 10 Americans suffer from chronic198disease, and about 70% of all health care expenditures are related to these199illnesses. Utilities – PG&E has ~10M meters and is moving from monthly200readings to testing at 15-minute intervals, amounting to 960M transactions a201day -- 29B a month that weren’t happening before. Transportation – U.S. demand for freight rail is projected to double in the next 25 years. In202China, railway investments in 2009 were more than the total for the decade2031995-2005, up 79% yty. This puts204today’s clients’ IT infrastructures under tremendous pressure In distributed205computing environments, up to 85 percent of computing capacity sits idle.1206Percent of executives who report a security breach. Many aren’t confident207they can prevent future breaches.2 66 percent or more is spent on maintaining208current IT infrastructures versus adding new capabilities.3 Percent of U.S. CIOs who have been in their jobs less than four years.4 66¢ per US$1 85% idle20982% 60% Source: (1) ""IBM experience from IBM maintenance of server210environments utilizations worldwide,“ (2) Ponemon Institute LLC, Jul 2009,211(3) Forrester Research, Nov 2009, (4) CIO Magazine 2010 State of the CIO212Survey213214Public and215private industry-based cloud solutions Analytics from data in the cloud New216customer segments Component supplier to private clouds217Infrastructure-as-a-Service public and private Cloud is having a218transformational impact on IT but also opens new opportunity spaces for IBM219to address 24% CAGR 2009 2015 Cloud Opportunity 3% of Total IT 7% of Total IT220+$3B incremental IBM Revenue IBM Strategy 2015 Impact New Growth Areas221Transform Traditional IT Source: IBM ",,,,,,222N1-01609,D_top_by_year,2010,0,ace3e09e-7386-468e-9948-074644ab4cf9,0001104659-10-027974,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2010-05-12,2010,full_body,19,649,5185,True,0.48270,0.47684,0.36931,0.34716,0.35134,5.29398,0,7,,"[LOGO]223224Global Sales225and Distribution Ginni Rometty226Senior Vice President, Global Sales & Distribution Bruno Di Leo General227Manager, Growth Markets Unit228229Objectives Drive Profitable Revenue Growth230in 170 Global Markets Identify and Target Strategic Growth Initiatives Build231Industry’s Pre-eminent Sales Force Based on Industry Skills Build Ecosystem232of Partners, Influencers and Policy Makers Key Growth Strategies Smarter233Planet Growth Markets Business Analytics Cloud Computing Sales and234Distribution Enable Revenue Growth of at Least 5% in the 2015 Roadmap Through235Key Growth Strategies236237Investments238Opportunity for Growth Repeatable asset-based solutions Specialized industry239skills Research Analytics centers Workload-optimized Systems Cloud Computing240Accelerated Growth in Priority Industries Client productivity Client Growth241Agendas Margin Growth via Repeatable Industry Frameworks Expect Revenue to242reach $10 billion by 2015 – 25% CAGR Smarter Planet2432443.5% 4.0% 4.3%2454.0% 4.6% 3.9% 4.4% 4.2% 5.4% Market CGR* Embedded246Electronics Development Cycle Time Electronics Smarter Cities Crime247Management Government X-sell/Upsell Risk Management248Banking Farm-to-fork Food waste Retail Mobile Broadband Single Customer View249Telecommunications Dynamic Tolling Gridlock Transportation Electric Vehicles250Outages Energy and Utilities Biofuels Oil recovery251rates Oil and Gas Collaborative Care Administration Healthcare Growth252Productivity Industry New Normal – Driving Productivity and Growth * CGR 2009 through 2015, Source IBM Market Intelligence253254Client Value255Industry Thought Leadership/Business Consulting Cloud Computing R&D256Workload Optimized Systems Analytics Coalition/ Standards Industry257Frameworks/Software What Distinguishes IBM258259Analytics-Based260Clinical Decision Support Cloud-Based Delivery System Collaborative Care261Electronic Patient Records Healthcare262263Client Value264Industry Thought Leadership/Business Consulting Cloud Computing R&D265Workload Optimized Systems Analytics Coalition/ Stand",,,,,,266N1-01610,D_top_by_year,2010,0,69aca307-3759-46ca-af4e-845a06de196e,0001104659-10-052707,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2010-10-19,2010,full_body,3,507,3234,True,0.47419,0.48514,0.36660,0.31321,0.39821,5.28902,0,0,,"To increase coverage in new territories, we267have a systematic approach to opening branch offices in new cities while268leveraging the global infrastructure. Year to date, we have opened 40 branch offices bringing our total to 103269in the Growth Markets. This quarter, the270fastest growth came from these new expansion territories. The second strategy is IT Infrastructure Development271in support of economic growth. Each year272tens of millions of people are moving from rural areas into cities. This creates a demand for banking, telecommunications,273transportation, and energy. Our strategy274is to provide the IT that supports the build-out of this infrastructure. That means high-end systems, software275solutions and large services projects. Now here are a couple of examples of the kind of work we’re doing. In China, IBM and Peking University276People’s Hospital have built an evidence-based, patient-centric care system to277enable resource sharing among service providers for improved patient care. And in India, IBM has delivered to278Keonics a mainframe-based education solution to enable the government client to279offer a more sophisticated, advanced280technical curriculum to their corporate clients. We’re seeing the benefit of the IT281infrastructure work in our systems results. This quarter, we had 25 percent growth in total Systems and Technology,282with almost 30 percent in servers. This283led to share gains in Systems and Technology as well as our Growth Markets284overall. The third strategy is to develop Industry Leadership285in selected industries which we believe are most relevant in the growth286markets; Banking, Energy & Utilities, Healthcare, Transportation &287Rail and Natural Resources. We’ve been288investing in industry specific skills by both hiring, and deepening our289employee skill sets. In the third290quarter we had 21 percent combined growth in these industries and double-digit291growth in four of the five. With this292strategy and the investments2932945295296we’re making, we expect performance in the gr",,,,,,297N1-01611,D_top_by_year,2010,0,96199645-1d18-4b0b-83fd-3ce2ca48824c,0001193125-10-128609,0000858877,CSCO,Cisco,Information Technology,Communications Equipment,10-Q,2010-05-26,2010,risk_factors,11,512,3358,True,0.44558,0.46667,0.44084,0.33997,0.33681,4.97912,0,0,,"have made and our architectural approach are designed to enable networked Web 2.0 and the increased use of the network as the platform for all forms of communications and IT. Also, in March 2009 we launched our Cisco Unified Computing System, our next-generation enterprise data center platform architected to unite computing, network, storage access, and virtualization resources in a single system, which is designed to address the fundamental transformation occurring in the enterprise data center. Cisco Unified Computing System is one of several market adjacencies on which we are focusing resources. The process of developing new technology is complex and uncertain, and if we fail to accurately predict customers’ changing needs and emerging technological trends our business could be harmed. We must commit significant resources, including the investments we have been making in market adjacencies and in the United States and select emerging countries mentioned above, to developing new products before knowing whether our investments will result in products the market will accept. In particular, if our model of the evolution of networking to collaborative systems does not emerge as we believe it will, or if the industry does not evolve as we believe it will, or if our strategy for addressing this evolution is not successful, many of our strategic initiatives and investments may be of no or limited value. Furthermore, we may not execute successfully on that vision because of errors in product planning or timing, technical hurdles that we fail to overcome in a timely fashion, or a lack of appropriate resources. This could result in competitors providing those solutions before we do and loss of market share, net sales, and earnings. The success of new products depends on several factors, including proper new product definition, component costs, timely completion and introduction of these products, differentiation of new products from those of our competitors, and market acce",,,,,,298N1-01612,D_top_by_year,2010,0,f2b04f9d-ed62-4dc7-a608-4fa01fb7bb31,0001144204-10-061498,0000807863,MITK,MITEK SYSTEMS INC,Information Technology,"Computer Peripheral Equipment, NEC",10-K,2010-11-16,2010,business,5,512,3470,True,0.47611,0.43012,0.40595,0.27153,0.27973,4.95407,1,2,,"in recognition algorithms, software engineering, user interface design, product documentation and quality improvement is responsible for maintaining and enhancing the performance, quality and usability of all of our products. In addition to research and development, our engineering staff provides customer technical support on an as needed basis, along with technical sales support. In order to improve the accuracy of our document image processing products, we devote significant research and development resources to enhance our core technology including our database of millions of character images that are used to ""train"" the neural network software that forms the core of our ICR engine. In addition, we have expanded our research and development tasks to include pre- and post-processing of data subject to automated processing. Our research and development organization included ten software engineers, including four with advanced degrees, and six consultants as of September 30, 2010. We balance our engineering resources between development of ICR technology and applications development. All of our software engineers are involved in applications development, including ICR research and development of the Service Oriented Architecture compliant ImageNet API recognition engine suite, with solutions for Payments Prep & ID, Mobile Capture, Data Capture, Fraud Detection and Signatures, quality assurance, and customer services and support. Intellectual Property Our success depends significantly upon our proprietary technology. We attempt to protect our intellectual property rights primarily through copyrights, trademarks, trade secrets, employee and third party nondisclosure agreements and other measures. If we are unable to protect our intellectual property or infringe intellectual property of a third party, our operating results could be harmed. As of September 30, 2010, we have been awarded a total of eight patents, three of which were awarded in 2010. In August 2010, we we",,,,,,299N1-01613,D_top_by_year,2010,0,9b152618-e31d-4d28-8ea6-c9737bda1bf3,0001193125-10-265032,0000887733,CENTA,CENTRAL GARDEN AND PET CLASS A,Consumer Staples,Wholesale-Miscellaneous Nondurable Goods,10-K,2010-11-19,2010,md_and_a,13,512,3435,True,0.46533,0.43674,0.35995,0.29541,0.28237,4.92318,0,0,,"funds available under our revolving credit facility, and arrangements with suppliers will be adequate to fund our presently anticipated working capital requirements for the foreseeable future. We anticipate that our capital expenditures will not exceed $30 million for the next 12 months, which are related primarily to replacements and upgrades to plant and equipment and investment in our implementation of a scalable enterprise-wide information technology platform. We are investing in this information technology platform to improve existing operations, to support future growth and enable us to take advantage of new applications and technologies. We have invested approximately $51 million from fiscal 2005 through fiscal 2010 in this initiative and plan to invest up to an additional $8 million in fiscal 2011 for planned implementations. Capital expenditures for 2012 and beyond will depend upon the pace of conversion of those remaining legacy systems. This initiative, when complete, will combine our numerous information systems into one enterprise system and create a common business model and common data, which should create greater efficiency and effectiveness. As part of our growth strategy, we have acquired a number of companies in the past, and we anticipate that we will continue to evaluate potential acquisition candidates in the future. If one or more potential acquisition opportunities, including those that would be material, become available in the near future, we may require additional external capital. In addition, such acquisitions would subject us to the general risks associated with acquiring companies, particularly if the acquisitions are relatively large. 37 Table of Contents Off-Balance Sheet Arrangements We have not entered into any transactions with unconsolidated entities whereby we have financial guarantees, subordinated retained interests, derivative instruments or other contingent arrangements that expose us to material continuing risks, contingent",,,,,,300N1-01614,D_top_by_year,2010,0,5f7e863c-4d69-4680-af1d-edfc59bb1ab3,0001047469-10-010499,0001090872,A,Agilent Technologies,Health Care,Life Sciences Tools & Services,10-K,2010-12-20,2010,business,15,512,3656,True,0.42046,0.47965,0.32169,0.26978,0.30609,4.89160,0,0,,"materials science, mathematics, nano/microfabrication, microfluidics, software, informatics, optics, physics, physiology and signal processing. Global Infrastructure Organization We provide support to our businesses through our global infrastructure organization. This support includes services in the areas of finance, legal, workplace services, human resources and information technology. These organizations are generally headquartered in Santa Clara, California, with services provided worldwide. As of the end of October 2010, our global infrastructure organization employed approximately 2,200 people worldwide, which includes the Agilent Labs researchers described above. The following discussions of Research and Development, Backlog, Intellectual Property, Materials, Environmental, International Operations and Acquisition and Disposal of Material Assets include information common to each of our businesses. Research and Development Research and development (""R&D"") expenditures were $612 million in 2010, $642 million in 2009 and $704 million in 2008, the vast majority of which was company-sponsored. We anticipate that we will continue to have significant R&D expenditures in order to maintain our competitive position with a continuing flow of innovative, high-quality products and services. Backlog On October 31, 2010, our unfilled orders for the electronic measurement business were approximately $830 million, as compared to approximately $670 million at October 31, 2009. On October 31, 2010, our unfilled orders for the chemical analysis business were approximately $250 million, as compared to approximately $160 million at October 31, 2009. Within our life sciences business, our unfilled orders were approximately $350 million on October 31, 2010 as compared to approximately $210 million at October 31, 2009. We expect that a large majority of the unfilled orders for all three businesses will be delivered to customers within six months. On average, our unfilled orders repr",,,,,,301N1-01615,D_top_by_year,2010,0,168d87cf-e440-4c48-aafe-901214f90b95,0000950130-10-001153,0001078075,NTCT,NETSCOUT SYSTEMS,Information Technology,Services-Computer Integrated Systems Design,10-K,2010-05-28,2010,business,10,512,3474,True,0.43606,0.46290,0.31693,0.25096,0.26676,4.89099,0,1,,"increasingly global network environment. • Continued portfolio enhancements– We plan to continue to enhance our products and solutions to address the management challenges associated with virtualization, cloud computing, service-oriented architectures, VoIP, video, and telepresence technologies. In addition, we will continue to drive our solutions to help IT organizations address the challenges of borderless networks, datacenter consolidation, branch office consolidation and optimization, increasing mobility and the move to a more process-oriented operating environment. 11 Table of Contents • Enabling pervasive visibility– We intend to continue to expand our intelligent data source family to enable our customers to achieve more visibility in more places across their end-to-end network environment. We are expanding our nGenius InfiniStream appliance family to enable greater levels of storage and processing capacity and to expand our software-based nGenius Virtual Agent and nGenius Integrated Agent technology to enable wider deployment of our technology within virtual computing environments, network devices and computing platforms. We intend to greatly enhance our ability to scale and to generate real-time metadata to meet the need for addressing a rapidly growing level of data traffic and an increasingly complex application environment. This includes extending and strengthening our market and technology lead by developing new and innovative ways to address the increasing volume of data traffic and enable support for 40 Gigabit and 100 Gigabit technologies. We will also support the impending large increase of IPv6 deployments globally. • Expand our customer base in both enterprise and service provider markets– As of March 31, 2010, NetScout’s customer set included 94 of the Fortune 100 companies and approximately forty percent of the Fortune Global 2000. We are deployed in more than 120 service provider networks across 39 countries. It is our intention to substantiall",,,,,,302N1-01616,D_top_by_year,2010,0,97e1b10b-cfd2-4dc0-a178-4db7c871fa36,0001047469-10-002038,0001069258,KTOS,KRATOS DEFENSE AND SECURITY SOLUTI,Industrials,Guided Missiles & Space Vehicles & Parts,10-K,2010-03-11,2010,business,6,512,3596,True,0.44398,0.45067,0.29599,0.36786,0.34715,4.86713,0,0,,"organizations. Our training solutions include services, product development, and tools addressing a breadth of related disciplines that include human performance factors, job and task analysis, competencies definition, skills and knowledge building via multiple delivery mediums, tracking, assessment, evaluation, and trend analysis. In addition, we develop and provide classroom based and e-learning training and education programs and Net-Centric Human Systems Integration (HSI) solutions. We also offer a range of IT services and solutions from conceptual network planning to system service and maintenance. We also offer our proprietary software based network management products via software license and maintenance sales which also serve as a platform for incremental network based services work. We have extensive experience building complex and secure networks for the federal government, and we possess in-depth experience with network operations centers. Our services include network operations centers, help desks, system maintenance, system upgrades, configuration management, data warehousing, COTS selection and integration, and high performance computing. Our Strategy Our strategy is to aggressively grow our business as a leading provider of highly differentiated services in our core areas of focus as noted above by delivering comprehensive, high-end engineering services, technical solutions and information technology solutions to federal government agencies while improving our profitability. To achieve our objective, we intend to: Accelerate Internal Growth We are focused on accelerating our internal growth rate by capitalizing on our current contract base and customer relationships, expanding services provided to our existing clients, expanding our client base and offering new, complementary services. Capitalize on Current Contract Base. We are aggressively pursuing task orders under existing contract vehicles to maximize our revenue and strengthen our client relatio",,,,,,303N1-01617,D_top_by_year,2010,0,4cc8f8dd-1915-4b11-917f-8010c9f2cb8f,0001047469-10-010444,0000047217,HPQ,HP Inc.,Information Technology,"Technology Hardware, Storage & Peripherals",10-K,2010-12-15,2010,business,10,512,3632,True,0.49455,0.39131,0.41887,0.28321,0.35074,4.83313,0,1,,"and Tata Consultancy Services Ltd. We also compete with other traditional hardware providers, such as Dell, which are increasingly offering services to support their products. Many of our competitors are able to offer a wide range of global services, and some of our competitors enjoy significant brand recognition. Our service businesses team with many companies to offer services, and those arrangements allow us to extend our reach and augment our capabilities. Our competitive advantages are evident in our deep technology expertise, which includes multi-vendor environments, virtualization and automation, our strong track record of collaboration with clients and partners, and the combination of our expertise in infrastructure management with skilled global resources in SAP, AG, Oracle Corporation and Microsoft Corporation platforms. HP Software. The areas in which HP Software operates are fueled by rapidly changing customer requirements and technologies. We market enterprise IT management software in competition with IBM, CA, Inc. (""CAI""), BMC Software, Inc. and others. Our information management and business intelligence solutions compete with products from companies like Symantec Corporation, IBM, EMC, CAI, and Teradata Corporation. We also deliver communications and media solutions that compete with products from IBM and various other competitors. As new delivery mechanisms such as software-as-a-service come on the scene, we are also confronting less traditional competitors. Our differentiation lies in the breadth and depth of our software and services portfolio and the scope of our market coverage. Personal Systems Group. The areas in which PSG operates are intensely competitive and are characterized by rapid price reductions and inventory depreciation. Our primary competitors for the branded personal computers are Dell, Acer Inc., ASUSTeK Computer Inc., Apple Inc., Lenovo Group Limited and Toshiba Corporation. In particular regions, we also experience competition",,,,,,304N1-01618,D_top_by_year,2010,0,bcdaab64-651b-4a26-b9b5-87bf308e0a2f,0001193125-10-032740,0000858877,CSCO,Cisco,Information Technology,Communications Equipment,10-Q,2010-02-17,2010,risk_factors,11,512,3350,True,0.42186,0.45751,0.42973,0.33429,0.32002,4.76111,0,0,,"networked Web 2.0 and the increased use of the network as the platform for all forms of communications and IT. Also, in March 2009 we launched our Unified Computing System (UCS), our next-generation enterprise data center platform architected to unite computing, network, storage access, and virtualization resources in a single system, which is designed to address the fundamental transformation occurring in the enterprise data center. UCS is one of several market adjacencies on which we are focusing resources. The process of developing new technology is complex and uncertain, and if we fail to accurately predict customers’ changing needs and emerging technological trends our business could be harmed. We must commit significant resources, including the investments we have been making in market adjacencies and in the United States and select emerging countries mentioned above, to developing new products before knowing whether our investments will result in products the market will accept. In particular, if our model of the evolution of networking to collaborative systems does not emerge as we believe it will, or if the industry does not evolve as we believe it will, or if our strategy for addressing this evolution is not successful, many of our strategic initiatives and investments may be of no or limited value. Furthermore, we may not execute successfully on that vision because of errors in product planning or timing, technical hurdles that we fail to overcome in a timely fashion, or a lack of appropriate resources. This could result in competitors providing those solutions before we do and loss of market share, net sales, and earnings. The success of new products depends on several factors, including proper new product definition, component costs, timely completion and introduction of these products, differentiation of new products from those of our competitors, and market acceptance of these products. There can be no assurance that we will successfully identify new ",,,,,,305N1-01619,D_top_by_year,2010,0,dad9d3a4-d445-475c-9ed2-e261bf07d395,0001193125-10-035218,0000002488,AMD,Advanced Micro Devices,Information Technology,Semiconductors,10-K,2010-02-19,2010,business,8,512,3630,True,0.37707,0.50476,0.26390,0.19651,0.20820,4.75752,0,2,,"™ processors. A server is a system that performs services for connected clients as part of a client-server architecture. Servers are designed to run an application or applications, often for extended periods of time with minimal human direction. Examples of servers include web servers, e-mail servers, database services, file servers and print servers. A workstation is a high-end PC, designed for technical applications such as computer-aided design and digital content creation. Workstations usually offer higher performance than is normally seen on a PC, especially with respect to graphics, processing power, memory capacity and multitasking activity. We design AMD Opteron processors for servers and workstations with Direct Connect Architecture to enable simultaneous 32-bit and 64-bit computing. These processors can be used in a variety of server applications, including database processing (enterprise resource planning, customer relationship management and supply chain management) and business intelligence. They can also be used in applications such as engineering and digital content creation and other information technology infrastructure applications such as intensive Web serving, cloud computing, high performance computing and email messaging. Cloud computing is a computing model where data, applications and services are delivered over the Internet. High performance computing involves the use of AMD Opteron processor based supercomputers and computer clusters to solve advanced computational problems in industries ranging from oil and gas to weather forecasting. AMD Opteron processors also allow enterprise customers to efficiently implement virtualization across their businesses. Virtualization is the use of software to allow multiple discrete operating systems and application environments to share a single physical computer by providing the illusion that each operating system has full control over the underlying hardware. By enabling different operating systems and ",,,,,,306N1-01620,D_top_by_year,2010,0,e25f0837-26b2-49f5-ba23-1a5141564ff0,0001104659-10-027974,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2010-05-12,2010,full_body,40,568,4062,True,0.44723,0.42813,0.26807,0.31348,0.41273,4.74655,0,3,,"Investments in307higher-value areas position GTS to grow Skills development, quality delivery308Global Delivery Framework (GDF) investments of ~$30M transforming the work309for 30,000 people in 2009, with a plan for an additional 30,000 in 2010310Dubuque Delivery Center on track to employ 1,300 by year end Modernizing data311centers Over $1B planned investments for smarter data center management in312Major and Growth Markets: Raleigh ($360M) Boulder ($350M) Growth Markets313($340M) Higher-value offerings Since 2007, committed nearly $1B in Business314Continuity and Resiliency Services investments Strategic acquisitions expand315capabilities in BTO and new markets Integrate IBM Software (e.g., service316management, security, workload management) Integrate IBM Systems and317Technology (e.g., virtualization with optimized systems)318319Client Value (320+ IBM Margin) Margin Expansion Established Global Technology Delivery321organization Aligned delivery skills around key competencies Established 7322Global Delivery Centers in Growth Markets Productivity < 2006 Global323Delivery Center Professionals < 12% Further opportunity to expand margins324and drive labor productivity with improved quality 2006 - 2009 27% Global325Delivery Center Professionals Lean process techniques GDF standardization and326common processes GDF deployed to existing centers in Boulder, East Fishkill,327and Toronto New delivery centers in Dubuque and Wroclaw, Poland Quality 2010328-2015 50% + Global Delivery Center Professionals Client Value Delivery329Transformation Deep analytics on client business data Integration of Service330Delivery Portal Extensive use of IBM technology and Research in delivery331332Quality and333productivity initiatives in Services Delivery contribute directly to margin334expansion GTS Gross Profit Margin 35.0% 29.9% 29.8% 32.6% 27% 28% 29% 30% 31%33532% 33% 34% 35% 36% 2006 2007 2008 2009 Delivery Quality 98.0% 98.5% 99.0%33699.5% 100.0% 4Q'06 1Q'07 2Q'07 3Q'07 4Q'07 1Q'08 2Q'08 3Q'08 4Q'08 1Q'093372Q'09 3Q'09 4Q'09 SLAs Made 80% 85% ",,,,,,338N1-01621,D_top_by_year,2010,0,2adc755f-7813-4cd6-992a-c00608c9881a,0001104659-10-027974,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2010-05-12,2010,full_body,41,576,4120,True,0.44723,0.42813,0.26807,0.31348,0.41273,4.74655,0,3,,"Investments in339higher-value areas position GTS to grow Skills development, quality delivery340Global Delivery Framework (GDF) investments of ~$30M transforming the work341for 30,000 people in 2009, with a plan for an additional 30,000 in 2010342Dubuque Delivery Center on track to employ 1,300 by year end Modernizing data343centers Over $1B planned investments for smarter data center management in344Major and Growth Markets: Raleigh ($360M) Boulder ($350M) Growth Markets345($340M) Higher-value offerings Since 2007, committed nearly $1B in Business346Continuity and Resiliency Services investments Strategic acquisitions expand347capabilities in BTO and new markets Integrate IBM Software (e.g., service348management, security, workload management) Integrate IBM Systems and349Technology (e.g., virtualization with optimized systems)350351Client Value (352+ IBM Margin) Margin Expansion Established Global Technology Delivery353organization Aligned delivery skills around key competencies Established 7354Global Delivery Centers in Growth Markets Productivity < 2006 Global355Delivery Center Professionals < 12% Further opportunity to expand margins356and drive labor productivity with improved quality 2006 - 2009 27% Global357Delivery Center Professionals Lean process techniques GDF standardization and358common processes GDF deployed to existing centers in Boulder, East Fishkill,359and Toronto New delivery centers in Dubuque and Wroclaw, Poland Quality 2010360-2015 50% + Global Delivery Center Professionals Client Value Delivery361Transformation Deep analytics on client business data Integration of Service362Delivery Portal Extensive use of IBM technology and Research in delivery363364Quality and365productivity initiatives in Services Delivery contribute directly to margin366expansion GTS Gross Profit Margin 35.0% 29.9% 29.8% 32.6% 27% 28% 29% 30% 31%36732% 33% 34% 35% 36% 2006 2007 2008 2009 Delivery Quality 98.0% 98.5% 99.0%36899.5% 100.0% 4Q'06 1Q'07 2Q'07 3Q'07 4Q'07 1Q'08 2Q'08 3Q'08 4Q'08 1Q'093692Q'09 3Q'09 4Q'09 SLAs Made 80% 85% ",,,,,,370N1-01622,D_top_by_year,2010,0,ad8816c7-f251-4505-994f-29ceae4ed767,0001104659-10-027974,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2010-05-12,2010,full_body,42,617,4394,True,0.44723,0.42813,0.26807,0.31348,0.41273,4.74655,0,4,,"Investments in371higher-value areas position GTS to grow Skills development, quality delivery372Global Delivery Framework (GDF) investments of ~$30M transforming the work373for 30,000 people in 2009, with a plan for an additional 30,000 in 2010374Dubuque Delivery Center on track to employ 1,300 by year end Modernizing data375centers Over $1B planned investments for smarter data center management in376Major and Growth Markets: Raleigh ($360M) Boulder ($350M) Growth Markets377($340M) Higher-value offerings Since 2007, committed nearly $1B in Business378Continuity and Resiliency Services investments Strategic acquisitions expand379capabilities in BTO and new markets Integrate IBM Software (e.g., service380management, security, workload management) Integrate IBM Systems and381Technology (e.g., virtualization with optimized systems)382383Client Value (384+ IBM Margin) Margin Expansion Established Global Technology Delivery385organization Aligned delivery skills around key competencies Established 7386Global Delivery Centers in Growth Markets Productivity < 2006 Global387Delivery Center Professionals < 12% Further opportunity to expand margins388and drive labor productivity with improved quality 2006 - 2009 27% Global389Delivery Center Professionals Lean process techniques GDF standardization and390common processes GDF deployed to existing centers in Boulder, East Fishkill,391and Toronto New delivery centers in Dubuque and Wroclaw, Poland Quality 2010392-2015 50% + Global Delivery Center Professionals Client Value Delivery393Transformation Deep analytics on client business data Integration of Service394Delivery Portal Extensive use of IBM technology and Research in delivery395396Quality and397productivity initiatives in Services Delivery contribute directly to margin398expansion GTS Gross Profit Margin 35.0% 29.9% 29.8% 32.6% 27% 28% 29% 30% 31%39932% 33% 34% 35% 36% 2006 2007 2008 2009 Delivery Quality 98.0% 98.5% 99.0%40099.5% 100.0% 4Q'06 1Q'07 2Q'07 3Q'07 4Q'07 1Q'08 2Q'08 3Q'08 4Q'08 1Q'094012Q'09 3Q'09 4Q'09 SLAs Made 80% 85% ",,,,,,402N1-01623,D_top_by_year,2010,0,6083a63d-9201-42fa-9b12-d145f8abc1db,0001104659-10-027974,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2010-05-12,2010,full_body,43,639,4523,True,0.44723,0.42813,0.26807,0.31348,0.41273,4.74655,0,4,,"Investments in403higher-value areas position GTS to grow Skills development, quality delivery404Global Delivery Framework (GDF) investments of ~$30M transforming the work405for 30,000 people in 2009, with a plan for an additional 30,000 in 2010406Dubuque Delivery Center on track to employ 1,300 by year end Modernizing data407centers Over $1B planned investments for smarter data center management in408Major and Growth Markets: Raleigh ($360M) Boulder ($350M) Growth Markets409($340M) Higher-value offerings Since 2007, committed nearly $1B in Business410Continuity and Resiliency Services investments Strategic acquisitions expand411capabilities in BTO and new markets Integrate IBM Software (e.g., service412management, security, workload management) Integrate IBM Systems and413Technology (e.g., virtualization with optimized systems)414415Client Value (416+ IBM Margin) Margin Expansion Established Global Technology Delivery417organization Aligned delivery skills around key competencies Established 7418Global Delivery Centers in Growth Markets Productivity < 2006 Global419Delivery Center Professionals < 12% Further opportunity to expand margins420and drive labor productivity with improved quality 2006 - 2009 27% Global421Delivery Center Professionals Lean process techniques GDF standardization and422common processes GDF deployed to existing centers in Boulder, East Fishkill,423and Toronto New delivery centers in Dubuque and Wroclaw, Poland Quality 2010424-2015 50% + Global Delivery Center Professionals Client Value Delivery425Transformation Deep analytics on client business data Integration of Service426Delivery Portal Extensive use of IBM technology and Research in delivery427428Quality and429productivity initiatives in Services Delivery contribute directly to margin430expansion GTS Gross Profit Margin 35.0% 29.9% 29.8% 32.6% 27% 28% 29% 30% 31%43132% 33% 34% 35% 36% 2006 2007 2008 2009 Delivery Quality 98.0% 98.5% 99.0%43299.5% 100.0% 4Q'06 1Q'07 2Q'07 3Q'07 4Q'07 1Q'08 2Q'08 3Q'08 4Q'08 1Q'094332Q'09 3Q'09 4Q'09 SLAs Made 80% 85% ",,,,,,434N1-01624,D_top_by_year,2010,0,b2b2d3c0-065c-4148-b6b0-c10866937adc,0001193125-10-192991,0001049521,MRCY,MERCURY SYSTEMS INC,Industrials,Electronic Components & Accessories,10-K,2010-08-19,2010,business,4,512,3676,True,0.41300,0.46304,0.35228,0.25884,0.24172,4.73629,0,0,,"with our growing understanding of case-specific application domains. Systems Engineering Expertise . We have established a core competency in providing image and signal processing subsystem solutions through partnership with our customers. We combine our understanding of the application with our deep knowledge of the system hardware, software, and packaging to develop solutions for some of the world’s most demanding real-time, signal- and image- processing applications. PRODUCTS Hardware Products We offer a broad family of products designed to meet the full range of requirements in compute-intensive, signal processing and image processing applications. To maintain competitive advantage, we seek to leverage technology investments across multiple product lines. We are also influential in the industry-standard organizations associated with our market segments. For example, we started the OpenVPX™ initiative with the goal of providing customers with multi-vendor interoperable hardware built to well-defined system standards. Our hardware products are typically compute-intensive and require extremely high inter-processor bandwidth and high I/O capacity. These systems often must also fit within the limited space and power available in aircraft, ships and other vehicles. They are used in both commercial industrial applications, such as ground radar air traffic control, and advanced defense applications, including space-time adaptive processing, synthetic aperture radar, airborne early warning, command control communication and information systems, mission planning, image intelligence, and signal intelligence systems. Our products transform the massive streams of digital data created in these applications into usable information in real time. The systems can scale from a few processors to thousands of processors. In early 2009, we introduced our new open architecture-based product line, derived or designed from the architecture developed for our commercial Advanced TCA produ",,,,,,435N1-01625,D_top_by_year,2010,0,8097b52a-dea3-4f6d-a6e0-51ebc421776f,0001193125-10-040500,0001058290,CTSH,Cognizant,Information Technology,IT Consulting & Other Services,10-K,2010-02-25,2010,business,0,512,3780,True,0.48896,0.37944,0.39662,0.26428,0.40582,4.72041,0,1,,"Overview We are a leading provider of custom Information Technology (IT) consulting and technology services and outsourcing services. Our customers are primarily Global 2000 companies located in North America, Europe and Asia. Our core competencies include Technology Consulting, Complex Systems Development and Integration, Enterprise Software Package Implementation and Maintenance, Data Warehousing, Business Intelligence and Analytics, Application Testing, Application Maintenance, Infrastructure Management, and Business and Knowledge Process Outsourcing (BPO and KPO). We tailor our services to specific industries, and utilize an integrated global sourcing model. This seamless global sourcing model combines technical and account management teams located on-site at the customer location and at dedicated near-shore and offshore development and delivery centers located primarily in India, China, the United States, Argentina, Hungary and the Philippines. Industry Background Many companies today face intense competitive pressure and rapidly changing market dynamics, driven by such factors as changes in the economy, government regulations, globalization, virtualization and other technology innovations. In response to these challenges, many companies are focused on improving efficiencies, enhancing effectiveness and driving innovation to favorably impact both the bottom-line and top-line. In order to achieve these goals, companies are focusing on a number of services, such as: • Business and IT alignment; • IT application and infrastructure optimization; • Business and Knowledge Process effectiveness and efficiency; • Advanced custom systems development; • Data Warehousing, Business Intelligence (BI) and Analytics; • Enterprise Resource Planning (ERP); • Customer Relationship Management (CRM); • Supply Chain Management; • Enterprise 2.0 business models and technology solutions; • Service-Oriented Architectures, Web 2.0 and Cloud Computing; and • Engineering and Manufacturin",,,,,,436N1-01626,D_top_by_year,2014,0,f01f36bb-73b7-44bf-b84b-1fa0b7a37085,0001104659-14-038372,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2014-05-14,2014,full_body,13,476,3204,True,0.61946,0.45402,0.52763,0.29446,0.43952,6.07271,0,0,,"Bringing Watson to437market438439Transforming440industries and rofessions Healthcare: Cleveland Clinic Memorial441Sloan-Kettering Cancer Center © 2014 International Business Machines Cor442oration 21443444Enter rise Solutions Watson Engagement445Watson Discovery Watson Watson Content Advisor Advisor Ex lorer Analytics ©4462014 International Business Machines Cor oration 22447448Watson Ecosystem Startu s Enter rise449Universities $100M 2400+ 400 7 lanned equity Ecosystem artner Mobile Develo450er Challenge Universities artnering to investments A lications a lications,451deliver cognitive curriculum in Ecosystem 25 semi-finalists in fall 2014 ©4522014 International Business Machines Cor oration 23453454© 2014455International Business Machines Corporation 24 Data is the new basis of456competitive advantage Leaders will: by applying more sophisticated analytics457across more disparate data sources in more parts of their organization. Drive458business outcomes by developing speed of insight and speed of action as core459differentiators. Capture the time value of data in their industry or460profession with cognitive capabilities. Change the game and Watson leads the461way in the new era of cognitive computing462463© 2014464International Business Machines Corporation 25465466IBM Cloud467Computing Erich Clementi Senior Vice President, Global Technology Services468Robert LeBlanc Senior Vice President, Software and Cloud Solutions Tom469Rosamilia Senior Vice President, Systems and Technology Group and IBM470Integrated Supply Chain471472© 2014473International Business Machines Corporation 2 Cloud is changing the way474enterprises work and transforming the way IT and business processes are475delivered **Source: Gartner, p.6, Private Cloud Matures, Hybrid Cloud is476Next, Gartner G00255302, Sept 6, 2013 *Source: IBM Market Insights, 1H 2014477***Source: IDC Directions, ""How SaaS Gets Built"" Doc # DR2014_T3_RM478March 2014 Cloud Market Opportunity* 25% CAGR through 2017 Nearly 70% of479enterprises to pursue hybrid cloud by 2015** 91% of net new software built480for ",,,,,,481N1-01627,D_top_by_year,2014,0,3376d378-5ae3-4e2a-932e-d462e33bcc67,0000051143-14-000010,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,10-Q,2014-10-28,2014,md_and_a,3,512,3398,True,0.55130,0.46249,0.52755,0.36260,0.48347,5.66623,0,1,,"high value strategy. · Second, the company is implementing changes that will make it easier for clients to consume its capabilities and innovations and increase its agility. The company is creating vertically integrated units to address key growth areas. Similar to the action taken with Watson earlier in 2014, the company is creating a dedicated business unit for Cloud, and other integrated units to address growth areas like security and smarter commerce. These actions will enable more focused investment, and will improve integration and speed in bringing solutions to the market and to the company’s clients. To provide more flexibility to clients in the way that they purchase the company’s software, the company is accelerating investments to make its software more directly consumable through digital channels. As a result, the company will have an end-to-end digital sales and marketing channel which will improve its reach. · Third, the company is taking additional actions to simplify its structure and accelerate productivity. For example, to improve productivity in Global Services while providing greater value and innovation to clients, the company will accelerate the use of automation in its data centers and be more aggressive in the use of its global delivery skills and intellectual property across the service lines. These actions will have an impact on the company’s financial model. In the near term, revenue will be down but margin will improve, as the divestitures announced and closed in 2014 represented approximately $7 billion of annual 2013 revenue and pre-tax losses of approximately $500 million. These actions also allow spending and capital to be reinvested to areas that will accelerate the transformation and allow for continued strong returns to shareholders through dividends and share repurchases. All of these actions are consistent with the company’s strategic direction, and while there are impacts in the short term, they improve the company’s position fo",,,,,,482N1-01628,D_top_by_year,2014,0,0ad401cd-e913-4fd5-841d-b17636bd7349,0001104659-14-038372,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2014-05-14,2014,full_body,10,240,1745,False,0.54750,0.46519,0.35759,0.30081,0.33235,5.65767,0,4,,"Cognitive All483Data Transaction and application data Machine, sensor data Enterprise content484Image, geospatial, video Social data Third-party data485486© 2014487International Business Machines Corporation 11 Context-aware Predictive and488rules-driven Continuous real-time at massive-scale From big data to fast489data: Real-time actionable insight People Process Systems Data Devices Sense490what is happening Build your context Act quickly & consistently Decide491what to do492493© 2014494International Business Machines Corporation 12 12 Real-time actionable495insight demonstration496497© 2014498International Business Machines Corporation 13 We are building on our499momentum - innovating and expanding capabilities to serve new client needs5002014 Watson Engagement Advisor and Partner Offerings Advanced Visualization501and Predictive Analytics for Big Data Single Point of Security for All Data502Performance Management and Risk Analytics on Cloud Cloud-Based Data and503Analytics Services on BlueMix DB2 with BLU Acceleration POWER8 Optimized for504Big Data and Analytics Counter Fraud Solutions 2013 Acquisitions IBM Watson505Group is Launched506507© 2014508International Business Machines Corporation 14 Helping clients to go further509faster IBM expertise extends over 40,000 engagements, with 15,000 consultants510working to address client needs. Innovative technology drives real-time511actionable insight with streaming, context and cognitive computing. Cloud512leadership enables clients to leverage all data and analytics securely for513competitive advantage. Introducing514cognitive with speed and conviction with computing with IBM Watson IBM Big515Data & Analytics © 2014 International Business Machines Corporation 15516517© 2014518International Business Machines Corporation 16 2011 Jeopardy!",,,,,,519N1-01629,D_top_by_year,2014,0,22bfe345-e8f4-4f8a-80a6-abc7b9c3fb47,0001104659-14-038372,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2014-05-14,2014,full_body,11,548,4007,True,0.54750,0.46519,0.35759,0.30081,0.33235,5.65767,0,4,,"Cognitive All520Data Transaction and application data Machine, sensor data Enterprise content521Image, geospatial, video Social data Third-party data522523© 2014524International Business Machines Corporation 11 Context-aware Predictive and525rules-driven Continuous real-time at massive-scale From big data to fast526data: Real-time actionable insight People Process Systems Data Devices Sense527what is happening Build your context Act quickly & consistently Decide528what to do529530© 2014531International Business Machines Corporation 12 12 Real-time actionable532insight demonstration533534© 2014535International Business Machines Corporation 13 We are building on our536momentum - innovating and expanding capabilities to serve new client needs5372014 Watson Engagement Advisor and Partner Offerings Advanced Visualization538and Predictive Analytics for Big Data Single Point of Security for All Data539Performance Management and Risk Analytics on Cloud Cloud-Based Data and540Analytics Services on BlueMix DB2 with BLU Acceleration POWER8 Optimized for541Big Data and Analytics Counter Fraud Solutions 2013 Acquisitions IBM Watson542Group is Launched543544© 2014545International Business Machines Corporation 14 Helping clients to go further546faster IBM expertise extends over 40,000 engagements, with 15,000 consultants547working to address client needs. Innovative technology drives real-time548actionable insight with streaming, context and cognitive computing. Cloud549leadership enables clients to leverage all data and analytics securely for550competitive advantage. Introducing551cognitive with speed and conviction with computing with IBM Watson IBM Big552Data & Analytics © 2014 International Business Machines Corporation 15553554© 2014555International Business Machines Corporation 16 2011 Jeopardy! Grand Challenge556Demonstration Watson has evolved from a Research Project to an IBM Business557Unit 2006 2010 Research Project R&D 20112013 Internal Startup Division558Market Validation 2014present IBM Watson Group Commercialization559560© 2014561International Busi",,,,,,562N1-01630,D_top_by_year,2014,0,2192d219-109b-4f32-8d25-0dba4b22cdfa,0001104659-14-038372,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2014-05-14,2014,full_body,7,434,2965,True,0.51032,0.47633,0.29811,0.22049,0.23972,5.47711,0,5,,"Picciano Senior Vice President, Information and Analytics563Group Mike Rhodin Senior Vice President, IBM Watson Group564565© 2014566International Business Machines Corporation 2 *Based on IBM Global Market567View 1H2014 Data is the new basis of competitive advantage Big Data &568Analytics Market Opportunity By 2017 there will be more than 1 trillion569connected objects and devices on the planet generating data. There are 2.5570billion gigabytes of data of which 80% is unstructured. By 2017, WW data571spend will be $266B. 6% CAGR through 2017 2017 Services Software Hardware 6%572CAGR 6% CAGR 3% CAGR $266B573574© 2014575International Business Machines Corporation 3 IBM has built differentiated,576industry- Industry's only Strategy and Analytics practice with 15K experts s577largest digital agency, IBM Interactive Experience More than 100,000 people578trained on analytics Consult, implement and run end-to-end analytics 15 Big579Data & Analytics solutions and services available on Cloud Marketplace; 9580more to launch this quarter Our Expertise and Technology Most diverse581portfolio of advanced analytics, including cognitive Streaming for real-time582analytics Context computing for more accurate, quicker decision-making Most583comprehensive enterprise-ready Hadoop distribution IBM Power Systems analyzes584data 50x faster than the latest x86585586© 2014587International Business Machines Corporation 4 $24B Investment in both organic588development and 30+ acquisitions $100M Announced investment in IBM589Interactive Experience, creating 10 new labs worldwide 9 Analytics Solution590Centers 1,000 universities Developing curriculum and training for analytics591with $1B To bring cognitive services and applications to market592593© 2014594International Business Machines Corporation 5 We are on track to be a $20B595IBM business in 2015 IDC MarketScape: Worldwide Business Analytics Consulting596and Systems Integration Services 2014 Vendor Assessment Big Data Vendor597Revenue and Market Forecast 2013-2017 (Feb 2014) A leader in Business598Analytics Se",,,,,,599N1-01631,D_top_by_year,2014,0,451cd21e-4a34-4503-9951-023db17fd462,0001047469-14-005424,0000047217,HPQ,HP Inc.,Information Technology,"Technology Hardware, Storage & Peripherals",10-Q,2014-06-09,2014,financial_statements,56,512,3867,True,0.51008,0.47473,0.30387,0.37475,0.38195,5.46538,0,5,,"servers, storage, networking and converged infrastructure. Support services include Datacenter Care, Foundation Care, Proactive Care, Flexible Capacity services and Lifecycle Event services. These services are available in the form of service contracts, pre-packaged offerings or on a customized basis. 56 Table of Contents HEWLETT-PACKARD COMPANY AND SUBSIDIARIES Notes to Consolidated Condensed Financial Statements (Continued) (Unaudited) Note 16: Segment Information (Continued) Enterprise Services provides technology consulting, outsourcing and support services across infrastructure, applications and business process domains. ES is divided into Infrastructure Technology Outsourcing and Application and Business Services. • Infrastructure Technology Outsourcing delivers comprehensive services that encompass the management of data centers, IT security, cloud computing, workplace technology, network, unified communications, and enterprise service management. • Application and Business Services helps clients develop, revitalize and manage their applications and information assets. The portfolio also includes intellectual property-based industry solutions along with technologies and related services, all of which help clients better manage their critical business processes for customer relationship management, finance and administration, human resources, payroll and document processing. Software provides IT management, application testing and delivery, information management, big data analytics and security solutions for businesses and enterprises of all sizes to help them navigate the new style of IT. HP's IT management solutions help customers deliver applications and services that perform to defined standards and automate and assure the underlying infrastructure, be it traditional, cloud or hybrid. HP's big data solutions include the HP HAVEn Big Data platform, which, together with the Autonomy, Vertica, and security products, is designed to help customers manage their",,,,,,600N1-01632,D_top_by_year,2014,0,9fa9dc8c-bebc-44d1-8918-3ad214c9e5a8,0000051143-14-000007,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,10-Q,2014-07-29,2014,md_and_a,2,512,3438,True,0.53248,0.44638,0.45514,0.31495,0.33667,5.43729,0,1,,"to bring Watson’s cognitive capabilities to the enterprise. In the second quarter of 2014, the company made progress implementing these initiatives including: · Bluemix becoming generally available in June. · New SoftLayer data centers were opened. · POWER8 began to ship, and the OpenPOWER consortium doubled its membership. · Substantially completing the divestiture of the customer care business. In July, the company announced additional actions to continue the shift to higher value, including: · An investment of $3 billion over the next five years in research and early stage development to create the next generation of semiconductor chip technologies that will fuel the systems required for cloud, big data and cognitive systems. 47 Management Discussion – (continued) · A strategic global partnership with Apple to provide a new level of business value from mobility for enterprise clients. The underlying theme of these actions – from the expansion of the cloud platforms and capacity, to the OpenPOWER consortium, to the partnership with Apple for enterprise mobility, to next generation chip technologies – is that the company is leveraging its unique strengths in innovation and enterprise capabilities to maintain its differentiation in the emerging areas of enterprise IT. While some of these actions impact results in the short term, they position the business better for the long term. In the second quarter, total consolidated revenue decreased 2.2 percent, 2.5 percent at constant currency. Adjusting for the divested customer care business, revenue decreased 1 percent at constant currency. From a segment perspective, Software revenue increased 1.0 percent (flat adjusted for currency), driven by middleware which increased 3.4 percent (3 percent adjusted for currency). The company is continuing to drive strong results in the strategic areas of mobile and security, as well as in some of the core franchises, including application servers and distributed databases. Global Ser",,,,,,601N1-01633,D_top_by_year,2014,0,f303c89d-584f-4343-aaed-2cf0edff5c70,0001104659-14-038372,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2014-05-14,2014,full_body,8,652,4629,True,0.50420,0.45772,0.32473,0.25477,0.30153,5.31812,0,4,,"6% CAGR through 2017 2017 Services Software Hardware 6%602CAGR 6% CAGR 3% CAGR $266B603604© 2014605International Business Machines Corporation 3 IBM has built differentiated,606industry- Industry's only Strategy and Analytics practice with 15K experts s607largest digital agency, IBM Interactive Experience More than 100,000 people608trained on analytics Consult, implement and run end-to-end analytics 15 Big609Data & Analytics solutions and services available on Cloud Marketplace; 9610more to launch this quarter Our Expertise and Technology Most diverse611portfolio of advanced analytics, including cognitive Streaming for real-time612analytics Context computing for more accurate, quicker decision-making Most613comprehensive enterprise-ready Hadoop distribution IBM Power Systems analyzes614data 50x faster than the latest x86615616© 2014617International Business Machines Corporation 4 $24B Investment in both organic618development and 30+ acquisitions $100M Announced investment in IBM619Interactive Experience, creating 10 new labs worldwide 9 Analytics Solution620Centers 1,000 universities Developing curriculum and training for analytics621with $1B To bring cognitive services and applications to market622623© 2014624International Business Machines Corporation 5 We are on track to be a $20B625IBM business in 2015 IDC MarketScape: Worldwide Business Analytics Consulting626and Systems Integration Services 2014 Vendor Assessment Big Data Vendor627Revenue and Market Forecast 2013-2017 (Feb 2014) A leader in Business628Analytics Services, IDC Marketscape Ranked #1 in big data revenue by Wikibon629for second consecutive year Big Data & Analytics revenue growing at630nearly 2x the market rate 40,000 engagements 4,800+ patents 70+ industry use631cases 2,500+ Business Partners632633© 2014634International Business Machines Corporation 6 Systems Security On premise, in635the cloud, as a service Storage New/Enhanced Applications Data is driving636demand for both greater business insight and the foundation to deliver it637Customer experience Financial perf",,,,,,638N1-01634,D_top_by_year,2014,0,dddc2133-1c16-4549-a9a2-ad0baa3bd826,0001104659-14-038372,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2014-05-14,2014,full_body,20,495,3375,True,0.48225,0.47528,0.38380,0.26444,0.30506,5.28105,0,1,,"Think of it as639a license to innovate.” Sumit Gupta, GM, Tesla Accelerated Computing, NVIDIA64012 OpenPOWER members are innovating with POWER for critical breakthroughs for641third generation warehouse scale technology NVIDIA GPU Accelerator642643Cloud is a644strategic business imperative that drives expanded reach, innovation and645business model change $7 billion invested to date to build cloud capabilities64680% of Fortune 500 companies use IBM’s cloud capabilities 100+647industry-leading Software as a Service (SaaS) offerings 1,500+ cloud patents64815 acquired companies, including SoftLayer, for cloud infrastructure 5,000+649private and hybrid cloud engagements in more than 100 countries included IBM650Systems in 2013 5.5 million client transactions processed daily through IBM’s651public cloud 2,000 SoftLayer APIs to provide a view of the client’s652environment On track to $7 billion of revenue in 2015653654Cloud Summary655IBM has built the world’s most complete cloud portfolio to capture the656opportunity from enterprise IT managers, developers and line of business657leaders. Cloud is changing the way enterprises work and transforming the way658IT and business processes are delivered. The integration of Systems of Record659and Systems of Engagement drive new value for clients and opportunity for660IBM. IBM Investor661Briefing662663By “Big Data,”664IBM means handling both extraordinary large volumes of structured (relational665databases) and unstructured (NoSQL, Map Reduce) data from which customers666derive analytics and insight. The POWER 8 processor is the first processor667with differentiated capabilities designed to handle both structured and668unstructured data. Such capabilities include 1. the CAPI (Coherent669Accelerator Processor Interface) Architecture with key data capabilities e.g. a). CAPI Flash Access Efficiency, b). Storage reduction via CAPI Attached670Compression Accelerator, and c). Throughput and latency advantage of CAPI671Attached Mellanox RDMA Fabric. 2. DBMA (dynamic balanced memory architecture)672in the",,,,,,673N1-01635,D_top_by_year,2014,0,f3ab3582-5b1a-42c8-bb4b-41bcfdad08ad,0001104659-14-072479,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2014-10-20,2014,full_body,11,500,3040,True,0.47570,0.47071,0.37786,0.33896,0.28839,5.20795,0,0,,"Through September, our business analytics revenue was up 8 percent this year, with the strongest growth coming from GBS. Our cloud portfolio supports the full scope of enterprise client cloud requirements, including solutions for private clouds, hybrid clouds, and public clouds. Our revenue was up over 50 percent year to date. Our as-a-service component was up over 80 percent and we exited the third quarter with an annual run rate of $3.1 billion. Addressing engagement on a year-to-date basis, our mobile revenue more than doubled, our social offerings returned to growth, with double-digit growth in the third quarter, and our security revenue was up over 20 percent, marking the eighth consecutive quarter of double-digit growth in security. Together, the revenue in our strategic imperatives was up double-digits, and about half of the content was in software. Summary674675So let me bring all of this back together. As I mentioned earlier in the call, we’re driving the shift toward our strategic imperatives. Earlier this year we created a Watson unit, and committed $1 billion to bring Watson’s cognitive capabilities to the enterprise. We launched Bluemix, we are globally expanding our SoftLayer cloud data centers, and we formed a partnership with Apple for enterprise mobility. Now as we exit the third quarter, we’re making it easier to do business with us, including creating vertically integrated units to address key growth areas, and making our software more consumable through digital channels. We’re taking additional actions to drive more productivity and increase the agility of our company. And while we invest to drive to the growth areas, we’re also aggressively moving away from the businesses that don’t fit our strategic profile. The sale of our x86 business, and divestiture of our microelectronics business are the two most recent examples. Earlier this year we divested our customer care BPO business, and as I mentioned the revenue from these 3 businesses was $7 billion",,,,,,676N1-01636,D_top_by_year,2014,0,2e32929f-05ec-44d2-91cd-49dac339efdc,0001104659-14-038372,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2014-05-14,2014,full_body,12,481,3512,True,0.57953,0.35023,0.45419,0.17645,0.33859,5.14696,0,0,,"Grand Challenge677Demonstration Watson has evolved from a Research Project to an IBM Business678Unit 2006 2010 Research Project R&D 20112013 Internal Startup Division679Market Validation 2014present IBM Watson Group Commercialization680681© 2014682International Business Machines Corporation 17 IBM Watson is cognitive683computing, and began as a system focused on helping humans leverage vast684amounts of natural language Natural language: Watson can read and understand685natural language, important in analyzing unstructured data that make up as686much as 80% of data today Hypothesis generation: When asked a question,687Watson relies on hypothesis generation and evaluation to rapidly parse relevant688evidence and evaluate responses from disparate data Dynamic learning: Through689repeated use, Watson literally gets smarter by tracking feedback from its690users and learning from both successes and failures691692© 2014693International Business Machines Corporation 18 Today, the mission of IBM694Watson is the same to scale & augment human expertise but its695capabilities have evolved Perceives: Watson understands the world as we do:696it interprets sensory input beyond traditional data Reasons: Watson thinks697through complex problems: it deepens our analysis and inspires creativity698Relates: Watson understands how we communicate, and personalizes its699interactions with each of us Learns: Watson learns from every interaction,700scaling our ability to build experience701702© 2014703International Business Machines Corporation 19 Assemble Ingest Train Deploy704Admin Domain Specialization Cognitive Services IBM Watson Solutions705Healthcare Financial Services Public Sector Other IBM Watson Products706Engagement Discovery Policy Other IBM Watson Platform (built on BlueMix)707Models Annotators Content Perceiving Gaining a new level of insight into our708world Reasoning Drawing inferences to reach new conclusions Relating709Adapting/personalizing interactions by individual Learning Continuously710improving insight with experience Data Lake IBM",,,,,,711N1-01637,D_top_by_year,2014,0,e5613fd8-7437-4802-abc1-e4c2a4b5fbd2,0001104659-14-038524,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2014-05-14,2014,full_body,4,673,4963,True,0.50942,0.42506,0.42265,0.32783,0.35750,5.14690,2,2,,"Watson Almaden Austin Ireland Zurich Haifa Africa India China Tokyo Australia712IBM Research: A global research capability7137141945 – 1980’s715Established hardware/ system labs near major universities 1990’s – Today716Expand to software and services, globalize labs, deep client engagements 2014717– Future IBM Research: A force for transformation718719IBM’s strategy720Engaging in new ways Data transforming industries Cloud transforming IT721722Engaging in new723ways Data transforming industries Cloud transforming IT Science &724Technology Industries & Engagement Research Cloud Research Cognitive725Research IBM Research: Aligned to growth726727CXLab Industries & Engagement Renewable728Research Energy Integration Foundations for Education729730Precision Agriculture CXLab IoT Asset731Management Industries & Engagement Renewable Genomic Energy Research732Medicine Integration Environmental Prediction and Modeling Foundations for733Education Cognitive Wealth Advisor734735Cognitive736Wealth Advisor Precision Agriculture IoT Asset Management Environmental737Prediction and Modeling Fully Digitized Customer Nanobiology-based DNA738Analytics Foundations for Education Renewable Energy Integration CXLab739Analytics for Dynamic Sustainability Genomic Medicine Industries &740Engagement Research741742Cognitive743Wealth Advisor Precision Agriculture IoT Asset Management Environmental744Prediction and Modeling Fully Digitized Customer Nanobiology-based DNA745Analytics Foundations for Education Renewable Energy Integration CXLab746Analytics for Dynamic Sustainability Industries & Engagement Research747Intelligent Wearables for Healthcare Genomic Medicine748749Industries750& Engagement – Genomic Medicine751752Industries753& Engagement – Genomic Medicine754755To analyze ONE756person's brain tumor, doctors need to sequence 800 Billion base pairs of DNA75723 Million medical research articles with relevant findings Cancer strikes75814.1 Million patients each year causing 8.2 Million deaths Industries &759Engagement – Genomic Medicine760761Industries762& Engagement – Genomic Medicine763764Indus",,,,,,765N1-01638,D_top_by_year,2014,0,62bf5209-8e5e-4760-85b4-3124c26b4618,0001104659-14-038524,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2014-05-14,2014,full_body,5,714,5306,True,0.50942,0.42506,0.42265,0.32783,0.35750,5.14690,2,2,,"Watson Almaden Austin Ireland Zurich Haifa Africa India China Tokyo Australia766IBM Research: A global research capability7677681945 – 1980’s769Established hardware/ system labs near major universities 1990’s – Today770Expand to software and services, globalize labs, deep client engagements 2014771– Future IBM Research: A force for transformation772773IBM’s strategy774Engaging in new ways Data transforming industries Cloud transforming IT775776Engaging in new777ways Data transforming industries Cloud transforming IT Science &778Technology Industries & Engagement Research Cloud Research Cognitive779Research IBM Research: Aligned to growth780781CXLab Industries & Engagement Renewable782Research Energy Integration Foundations for Education783784Precision Agriculture CXLab IoT Asset785Management Industries & Engagement Renewable Genomic Energy Research786Medicine Integration Environmental Prediction and Modeling Foundations for787Education Cognitive Wealth Advisor788789Cognitive790Wealth Advisor Precision Agriculture IoT Asset Management Environmental791Prediction and Modeling Fully Digitized Customer Nanobiology-based DNA792Analytics Foundations for Education Renewable Energy Integration CXLab793Analytics for Dynamic Sustainability Genomic Medicine Industries &794Engagement Research795796Cognitive797Wealth Advisor Precision Agriculture IoT Asset Management Environmental798Prediction and Modeling Fully Digitized Customer Nanobiology-based DNA799Analytics Foundations for Education Renewable Energy Integration CXLab800Analytics for Dynamic Sustainability Industries & Engagement Research801Intelligent Wearables for Healthcare Genomic Medicine802803Industries804& Engagement – Genomic Medicine805806Industries807& Engagement – Genomic Medicine808809To analyze ONE810person's brain tumor, doctors need to sequence 800 Billion base pairs of DNA81123 Million medical research articles with relevant findings Cancer strikes81214.1 Million patients each year causing 8.2 Million deaths Industries &813Engagement – Genomic Medicine814815Industries816& Engagement – Genomic Medicine817818Indus",,,,,,819N1-01639,D_top_by_year,2014,0,399efe96-0b54-40ba-be61-150cd0d9de14,0001193125-14-251351,0001341439,ORCL,Oracle Corporation,Information Technology,Application Software,10-K,2014-06-26,2014,business,0,512,3677,True,0.41500,0.50863,0.30557,0.35134,0.29039,5.03800,0,4,,"General We are the world’s largest provider of enterprise software and a leading provider of computer hardware products and services that are engineered to work together in the cloud and in the data center. Our offerings include Oracle database and middleware software, application software, cloud infrastructure, hardware systems—including computer server, storage and networking products—and related services. We develop and maintain our products and services to be enterprise-grade, reliable, secure and interoperable while offering customers a choice in deployment models that best meet their information technology (IT) needs. Our customers can subscribe to use many Oracle software and hardware products through our Oracle Cloud offerings, or purchase our software and hardware products and related services to build their own internal clouds or on-premise IT environments. Cloud computing IT environments, including those offered through our Oracle Cloud Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS) offerings, are designed to be attractive and cost-effective options for our customers as we integrate the software and hardware on the customers’ behalf in IT environments that we deploy, support and manage. We are a leader in the core technologies of cloud computing, including database and middleware software as well as web-based applications, virtualization, clustering, large-scale systems management and related infrastructure. Our products and services are the building blocks of our own cloud services, our partners’ cloud services and our customers’ cloud IT environments. An important element of our corporate strategy is to deliver reliable, secure and scalable products and services that are built upon industry standards and are engineered to work both together or independently, regardless of the deployment model selected. We believe that our investments in, and continued innovation with respect to, our software and cloud, ",,,,,,820N1-01640,D_top_by_year,2014,0,1f8f59b1-64d8-43a8-9328-d595541099ec,0001158449-14-000058,0001158449,AAP,ADVANCE AUTO PARTS INC,Consumer Discretionary,Retail-Auto & Home Supply Stores,10-K,2014-02-25,2014,business,8,512,3151,True,0.51512,0.39345,0.55267,0.24317,0.38814,4.98550,6,6,,"by providing premium parts, expert customer service and efficient parts delivery. As a result of its extensive sourcing network, AI is able to serve its customers in search of replacement parts for both domestic and imported cars and light trucks with a greater focus on imported parts. The vast majority of AI's product is sold under its own proprietary brand. The AI stores offer approximately 30,000 SKUs through routine replenishment from its supply chain with access to over 200,000 SKUs through local sourcing networks. AI has significantly increased its store count since our acquisition of AI in September 2005. As of December 28, 2013 , we operated 217 stores under the “Autopart International” trade name in the following states: Location Number ofStores Location Number ofStores Location Number ofStores Alabama 1 Maine 4 New York 33 Connecticut 16 Maryland 11 Ohio 5 Delaware 1 Massachusetts 31 Pennsylvania 22 DC 1 North Carolina 5 Rhode Island 4 Florida 40 New Hampshire 8 South Carolina 2 Georgia 6 New Jersey 18 Virginia 9 The following table sets forth information concerning increases in the total number of our AI stores: 2013 2012 2011 2010 2009 Beginning Stores 218 202 194 156 125 New Stores 12 21 9 38 32 Stores Closed (13 ) (5 ) (1 ) — (1 ) Ending Stores 217 218 202 194 156 Seasonality Our business is somewhat seasonal in nature, with the highest sales usually occurring in the spring and summer months. In addition, our business can be affected by weather conditions. While unusually heavy precipitation tends to soften sales as elective maintenance is deferred during such periods, extremely hot or cold weather tends to enhance sales by causing automotive parts to fail at an accelerated rate. Team Members As of February 20, 2014 , we employed 41,238 full-time Team Members and approximately 30,629 part-time Team Members. Our workforce consisted of 87% of our Team Members employed in store-level operations, 9% employed in distribution and 4% employed in our corporate",,,,,,821N1-01641,D_top_by_year,2014,0,3b513ace-b418-4fcf-974b-64637ea1f0fe,0000050863-14-000020,0000050863,INTC,Intel,Information Technology,Semiconductors,10-K,2014-02-14,2014,business,0,512,3485,True,0.43594,0.47382,0.41790,0.32289,0.36127,4.95920,0,1,,"Company Overview We design and manufacture advanced integrated digital technology platforms. A platform consists of a microprocessor and chipset, and may be enhanced by additional hardware, software, and services. We sell these platforms primarily to original equipment manufacturers (OEMs), original design manufacturers (ODMs), and industrial and communications equipment manufacturers in the computing and communications industries. Our platforms are used in a wide range of computing applications, such as notebooks (including Ultrabook™ devices and 2 in 1 systems), desktops, servers, tablets, smartphones, automobile infotainment systems, automated factory systems, and medical devices. We also develop and sell software and services primarily focused on security and technology integration. We were incorporated in California in 1968 and reincorporated in Delaware in 1989. Company Strategy Our goal is to be the preeminent computing solutions company that powers the worldwide digital economy. Over time, the number of devices connected to the Internet and each other has grown from hundreds of millions to billions, and the variety of devices also continues to increase. The combination of embedding computing into devices and connecting them to the Internet, known as the Internet of Things, as well as a build-out of the cloud infrastructure supporting these devices is driving fundamental changes in the computing industry. As a result, we are transforming our primary focus from the design and manufacture of semiconductor chips for personal computing (PC) and servers to the delivery of solutions consisting of hardware and software platforms and supporting services across a wide range of computing devices. Examples of these solutions can be seen across the computing continuum, from the teraflops of operations per second for high performance computing (HPC) to the milliwatts of energy consumed by an embedded application. Additionally, computing is becoming an increasingly mobile,",,,,,,822N1-01642,D_top_by_year,2014,0,c1ec6326-d4fd-4cf8-ac7a-499cec33d04a,0000051143-14-000007,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,10-Q,2014-07-29,2014,md_and_a,6,512,3346,True,0.46764,0.43742,0.44378,0.28890,0.33475,4.94307,0,1,,"businesses that are shifting to higher value, the portfolio is continuing to evolve – the company is investing in capabilities in some areas, while divesting businesses that do not 50 Management Discussion – (continued) support the shift to higher value. In the first half of 2014, the company substantially completed the divestiture of the customer care business – and announced the sale of its industry standard x86 server business to Lenovo. These transactions impact the company’s revenue performance, but position the business for the long term. The company continues to drive these shifts. For example, in the first half of the year: · Bluemix went live, new SoftLayer cloud hubs were added and investment is being ramped up to commercialize Watson. · POWER8 was introduced for big data and cloud at the entry level and the OpenPOWER consortium doubled its membership. · The company committed $3 billion in spending over the next five years to drive chip innovation, while launching a global new partnership with Apple to extend the company’s position in the enterprise mobile space. From a segment perspective, Software revenue increased 1.3 percent (1 percent adjusted for currency) year to year driven by middleware which increased 3.3 percent (3 percent adjusted for currency). Global Services revenue declined 1.7 percent (1 percent adjusted for currency). Adjusted for the divested customer care business, Global Services revenue increased 1 percent at constant currency. Global Technology Services (GTS) declined 2.1 percent (1 percent adjusted for currency); adjusting for the divested customer care business, GTS revenue increased 2 percent at constant currency. Global Business Services revenue decreased 0.8 percent as reported, flat adjusted for currency. Systems and Technology revenue decreased 16.6 percent (17 percent adjusted for currency) from a combination of secular and cyclical challenges in the hardware business. System z mainframe revenue decreased 16.4 percent (17 per",,,,,,823N1-01643,D_top_by_year,2014,0,5af6a6af-99d4-48f0-92df-8281d3e2c4f6,0001104659-14-038372,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2014-05-14,2014,full_body,16,494,3446,True,0.45421,0.44514,0.36456,0.28920,0.34617,4.90121,0,1,,"Infrastructure Services824825BlueMix will826equip millions of developers with tools and services to build cloud827applications Exposing IBM’s vast portfolio of market-leading enterprise828software as services available to developers Enabling transactions between829systems of engagement – primarily driven by mobile - and systems of record830Built on open standards (e.g. Cloud Foundry) BlueMix Platform-as-a-Service831~70% of enterprises to pursue hybrid cloud by 2015* *Source: Gartner, p.6,832Private Cloud Matures, Hybrid Cloud is Next, Gartner G00255302, Sept 6, 2013833Optimization Innovation Mobile Security DevOps Integration Big Data Analytics834835Active or being836onboarded. More joining every day Data | Development Tools | Security |837Operations Support | Mobile | Analytics | Messaging Supporting core IBM838capabilities such as SoftLayer and BlueMix More joining every day A growing839ecosystem of partner services on BlueMix C l o u d A M Q P840841IBM knows how842to rally developers around emerging technology 43 IBM Innovation Centers843hosting 3,000+ events 1,000+ startups in the IBM Global Entrepreneurship844Program 4M developerWorks members 100 universities in 20 countries845Partnerships with BlueMix Garage partnership with Galvanize to work with 200846startups847848Enabling849business transformation Business Process as a Service Marketplace of high850value consumable business applications Software as a Service Composable and851integrated application development platform Platform as a Service Enterprise852class, optimized infrastructure Infrastructure as a Service Delivering853business services and solutions in the cloud Think it. Build it. Tap into it. Smarter Workforce Smarter Cities Smarter Analytics Smarter Commerce Watson854Solutions Software Solutions Flexible deployment across private, public, and855hybrid cloud environments Deep domain expertise across 17 industries856delivered through IBM Global Business Services Global business partner857community Why IBM? Companies try858SaaS for cost savings; Top performers discover",,,,,,859N1-01644,D_top_by_year,2014,0,ae293ac3-63f7-4e7c-868b-bf45226a9489,0001193125-14-289961,0000789019,MSFT,Microsoft,Information Technology,Systems Software,10-K,2014-07-31,2014,selected_financial_data,2,512,3460,True,0.37036,0.53274,0.34164,0.24971,0.27393,4.88910,1,1,,"Helping businesses move to the cloud is one of our largest opportunities, and we believe we work from a position of strength. The shift to the cloud is driven by three important economies of scale: larger datacenters can deploy computational resources at significantly lower cost per unit than smaller ones; larger datacenters can coordinate and aggregate diverse customer, geographic, and application demand patterns improving the utilization of computing, storage, and network resources; and multi-tenancy lowers application maintenance labor costs for large public clouds. The cloud creates the opportunity for businesses to focus on innovation while leaving non-differentiating activities to reliable and cost-effective providers. With Azure, we are one of very few cloud vendors that run at a scale that meets the needs of businesses of all sizes and complexities. We believe the combination of Azure and Windows Server makes us the only company with a public, private, and hybrid cloud platform that can power modern business. We are working to enhance the return on IT investment by enabling enterprises to combine their existing datacenters and our public cloud into a single cohesive infrastructure. Businesses can deploy applications in their own datacenter, a partner’s datacenter, or in our datacenters with common security, management, and administration across all environments, with the flexibility and scale they desire. Our cloud will also enable richer employee experiences. We enable organizations to securely adopt software-as-a-service applications (both our own and third-party) and integrate them with their existing security and management infrastructure. We will continue to innovate with higher level services including identity and directory services, rich data storage and analytics services, machine learning services, media services, web, and mobile backend services, and developer productivity services. To foster a rich developer ecosystem, our digital work 27 Table o",,,,,,860N1-01645,D_top_by_year,2014,0,e0c95118-252c-4d3f-928a-14658b3cc62d,0001045810-14-000085,0001045810,NVDA,Nvidia,Information Technology,Semiconductors,10-Q,2014-05-21,2014,md_and_a,1,512,3402,True,0.43053,0.46819,0.36019,0.17525,0.21037,4.88711,0,0,,"10-Q, before deciding to purchase, hold or sell shares of our common stock. Overview Our Company NVIDIA is a visual computing company. In a world increasingly filled with visual displays, our graphics technologies let our customers interact with the world of digital ideas, information and entertainment with an efficiency that no other communication medium can match. Our strategy is to be the world leader in visual computing. We target applications in each of the major computing platforms - PC, cloud, mobile - where we can create value. Our target markets are gaming, design and visualization, high performance computing, or HPC, and data center, and automotive and smart devices. We deploy business models we believe are best suited for each application, whether IP, chips, systems, or NVIDIA-branded devices and services. We have long been known for bringing video games to life with our PC graphics chips. With our invention of the GPU, we introduced the world to the power of programmable shading, which defines modern computer graphics. Today, we reach well beyond PC graphics and games. Our energy-efficient processors are at the heart of products ranging from smartphones to automobiles to supercomputers. We believe in leveraging our processors and visual computing expertise to create differentiated products. PC gamers choose our GPUs to enjoy immersive fantasy worlds. Our Tegra system-on-a-chip, or SOC, processors power smartphones, tablets and automobile infotainment systems. Professional designers use our GPUs to create visual effects in movies and design everything from audio headsets to commercial aircraft. Supercomputers take advantage of the massively parallel processing capabilities of our GPUs to accelerate a wide range of important applications, from simulations of viruses to weather forecasting and global oil exploration. 27 NVIDIA's research and development in visual computing has yielded approximately 7,000 patent assets, including inventions essential to mode",,,,,,861N1-01646,D_top_by_year,2014,0,89f0e6c4-438b-4c1d-a180-be3f14048025,0001193125-14-062744,0000932696,NSIT,INSIGHT ENTERPRISES INC,Information Technology,Retail-Catalog & Mail-Order Houses,10-K,2014-02-21,2014,business,8,512,3426,True,0.42189,0.47722,0.32306,0.41021,0.31987,4.88588,0,0,,"to potentially more expensive on-premise solutions. We partner with providers to deliver solutions around collaboration and messaging, managed security and data management, including Microsoft, Symantec, McAfee and IBM. We also help our clients successfully adopt “as-a-service” offerings by providing cloud readiness, migration and management services. Our service teams are made up of industry-, technical- and product-certified engineers, consultants and specialists who are current on best practices and the latest developments in their respective practice areas and reference architectures. We are a Cisco Gold Certified partner in the United States and the United Kingdom and have Master Certifications in unified communications and security in the United States. Our data center practice in the United States is an HP Authorized Enterprise Provider and holds HP Storage Elite, HP Blade Elite and HP Services Elite partner status. We hold Microsoft Gold certifications in identity and security, portals and collaboration, virtualization, server platform, systems management, software asset management and volume licensing and are a Microsoft Cloud Accelerator Partner. We also have been awarded premier partner status by a number of other partners, such as IBM, EMC and VMware. Our Information Technology Systems We have committed significant resources to the IT systems we own and use to manage our business and believe that our success is dependent upon our ability to provide prompt and efficient service to our clients based on the accuracy, quality and utilization of the information generated by our IT systems. Because these systems affect our ability to manage our sales, client service, partner relationships and programs, distribution, inventories and accounting systems and our voice and data networks, we have built redundancy into certain systems, maintain system outage policies and procedures and have comprehensive data backup. We are focused on driving improvements in sales pr",,,,,,862N1-01647,D_top_by_year,2014,0,994283b6-2d8a-43b0-b9e6-98a0179debfd,0001193125-14-108126,0001341439,ORCL,Oracle Corporation,Information Technology,Application Software,10-Q,2014-03-20,2014,md_and_a,4,512,3563,True,0.38955,0.50747,0.31683,0.22897,0.27119,4.85888,0,4,,"and $2 million and $12 million for the nine months ended February 28, 2014 and 2013, respectively. To the extent underlying software support contracts are renewed with us following an acquisition, we will recognize the revenues for the full values of the software support contracts over the respective support periods, the majority of which are one year. Hardware Systems Business Our hardware systems business is comprised of two operating segments: (1) hardware systems products and (2) hardware systems support. Our hardware business represented 14% of our total revenues on a trailing 4-quarter basis. We expect our hardware business to have lower operating margins as a percentage of revenues than our software business due to the incremental costs we incur to produce and distribute these products and to provide support services, including direct materials and labor costs. We expect to make investments in research and development to improve existing hardware products and services and to develop new hardware products and services. Hardware Systems Products: We provide a broad selection of hardware systems and related services including servers, storage, networking, virtualization software, operating systems, and management software to support diverse IT environments, including public and private cloud computing environments. We engineer our hardware systems with virtualization and management capabilities to enable the rapid deployment and efficient management of cloud and on-premise IT infrastructures. We have also engineered our hardware systems products to create performance and operational cost advantages for customers when our hardware and software products are combined as Oracle Engineered Systems. Oracle Engineered Systems are core building blocks for Oracle’s data center and cloud computing products and services. Oracle Infrastructure-as-a-Service (IaaS), an on-premise cloud offering for deploying Oracle’s Engineered Systems to customers on a subscription basis, pr",,,,,,863N1-01648,D_top_by_year,2014,0,14cab2fc-0c4b-41aa-80ab-b08a19bde796,0000769397-14-000018,0000769397,ADSK,Autodesk,Information Technology,Application Software,10-K,2014-03-10,2014,business,5,512,3490,True,0.41554,0.47512,0.37012,0.22505,0.27948,4.82976,0,0,,"(“PLM”) and Fusion 360, our cloud based offerings, which provide tools, including social and mobile capabilities, to help streamline design, collaboration, and data management processes. We believe that customer adoption of these new offerings will continue to grow as customers across a range of industries began to take advantage of the scalable computing power and flexibility provided through these new services. We dedicate considerable technical and financial resources to research and development to further enhance our existing products and to create new products and technologies. Research and development expenditures were $ 611.1 million or 27% of fiscal 2014 net revenue, $ 600.0 million or 26% of fiscal 2013 net revenue and $ 566.5 million or 26% of fiscal 2012 net revenue. Our software is primarily developed internally; however, we also use independent firms and contractors to perform some of our product development activities. Additionally, we acquire products or technology developed by others by purchasing or licensing products and technology from third parties. We continually review these investments in an effort to ensure that we are generating sufficient revenue or gaining a competitive advantage to justify their costs. The majority of our research and product development is performed in the United States, China, Singapore and Canada. However, we employ experienced software developers in many of our other locations. Translation and localization of our products are performed in a number of local markets, principally Singapore and Switzerland. We generally localize and translate our products into German, French, Italian, Spanish, Russian, Japanese, Korean and simplified and traditional Chinese. We plan to continue to manage significant product development operations internationally over the next several years. We believe that our ability to conduct research and development at various locations throughout the world allows us to optimize product development, l",,,,,,864N1-01649,D_top_by_year,2014,0,b1dbb6dd-11c0-4014-8b07-7653b7fcb30f,0001104659-14-052217,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,8-K,2014-07-18,2014,full_body,2,503,2931,True,0.44569,0.43386,0.40001,0.26076,0.28462,4.77233,0,1,,"You saw last week that we are investing $3 billion over the next 5 years in research and early stage development to create the next generation of chip technologies. Those will fuel the systems required for cloud, big data and cognitive systems. 2865866And just a couple of days ago IBM and Apple announced867a strategic global partnership to provide a new level of business value from mobility, for enterprise clients. The underlying theme of all of this, from the expansion of our cloud platforms and capacity, to the OpenPOWER consortium, to the partnership with Apple for enterprise mobility, to next generation chip technologies, is that we’re leveraging our unique strengths in innovation, and enterprise capabilities to maintain our differentiation in the emerging areas of enterprise IT. While some of these actions impact our results in the short term, they better position our business for the long term. 3868869Key Financial Metrics – 2Q 2014870871For the quarter, we delivered revenue of $24.4 billion and Operating earnings per share of $4.32. Our revenue was down 2 percent or down 1 percent at constant currency adjusting for the customer care divestiture. We improved gross margin by 10 basis points, the 22872nd873consecutive quarter of operating gross margin expansion. Our Pre tax and Net margins are up significantly. Last year’s profit base was lower, due to a workforce rebalancing charge of about a billion dollars. We took a charge of a similar size in the first quarter of 2014 and so on a 6-month basis the charges are fairly neutral to profit growth. On the bottom line, we reported Operating earnings per share of $4.32 in the second quarter, which is up 34 percent, and we generated $3 billion of free cash flow, which is up $300 million over last year. 4874875Key Financial Metrics – 1H 2014876877Let me spend a minute on the first half performance. The revenue performance for the half is very similar to the second quarter. Through 6 months, we had double-digit revenue growth in strategic initi",,,,,,878N1-01650,D_top_by_year,2014,0,033adfc2-188e-46a9-bac8-07e79e1fdec8,0001193125-14-071369,0000816761,TDC,TERADATA,Information Technology,Services-Prepackaged Software,10-K,2014-02-27,2014,risk_factors,1,512,3444,True,0.45660,0.41852,0.47035,0.24594,0.26722,4.74905,0,0,,"services, frequent new product introductions, and price and cost reductions. In general, as a participant in the analytic data solutions market, we face: • Changes in customer IT spending habits and other shifts in market demands, which drive competition; • A continuing trend toward consolidation of companies which could adversely affect our ability to compete, including if our key partners merge or partner with our competitors; • Continued pressure on price/performance for analytic data platform solutions due to constant technology improvements in processor capacity and speed; • Changes in pricing, marketing and product strategies, such as potential aggressive price discounting and the use of different pricing models by our competitors or other factors; • Rapid changes in computing technology and capabilities that challenge our ability to maintain differentiation at the lower range of business intelligence analytic functions; • New and emerging analytic data technologies, competitors, and business models; • Continued emergence of open source software that often attempt to rival current technology offerings at a much lower cost despite its limited functionality; 15 Table of Contents • Rapid changes in product delivery models, such as in-house solutions versus cloud solutions, and • Changing competitive requirements and deliverables in developing and emerging markets. To compete successfully in this environment, we must rapidly and continually design, develop and market solutions and related products and services that are valued in the marketplace. To do this, we must react on a timely basis to shifts in market demands. Our market position depends on our ability to continually improve the price/performance of our solutions, while maintaining efficient operations to sustain our competitive operating margins. We must also maintain the quality of our products and services throughout these shifts in market demand. If we are unable to react quickly when and as needed to i",,,,,,879N1-01651,D_top_by_year,2018,0,c908821d-0913-4fd2-b388-7839b161c53d,0000934549-18-000043,0000934549,ACTG,ACACIA RESEARCH,Financials,Patent Owners & Lessors,10-Q,2018-05-10,2018,md_and_a,3,512,3481,True,0.58760,0.56999,0.57322,0.33958,0.32017,6.59093,8,8,,"of collaborative, adaptable robotic kitchen assistants and to broaden applications for Miso AI, the company’s machine learning cloud platform. In addition, we also entered into an IP services agreement with Miso Robotics to help the company drive AI-based solutions for the entire restaurant industry. Our partnership with Miso Robotics represents our second partnership with companies seeking to transform the marketplace through AI. In August 2016, we announced the formation of a partnership with Veritone, a leading cloud-based Artificial Intelligence technology company that is pioneering next generation search and analytics through their proprietary Cognitive Media Platform™. Under the partnership, we have the ability to leverage our IP expertise to assist Veritone with building its patent portfolio and executing upon its overall IP strategy. In order to enhance Veritone’s leadership position in the field of machine learning and AI, we provided a total of $53.3 million in funding to Veritone pursuant to an investment agreement executed in August 2016, as amended. Upon Veritone’s consummation of its initial public offering in May 2017, or the IPO, our loans and accrued interest were automatically converted into 1,969,186 shares of Veritone common stock and we exercised certain warrants, acquiring 2,150,335 shares of Veritone common stock. Results for the three months ended March 31, 2018 included an unrealized investment loss of $41.1 million , primarily related to the decrease in Veritone’s stock price since December 31, 2017 and our related requirement to mark our Veritone investment to market at each balance sheet date. At March 31, 2018, the cumulative net unrealized gain (since the IPO) on our Veritone investment was $8,429,000. Our Veritone common shares were subject to a lock-up agreement that expired on February 15, 2018, subsequent to which the shares may be sold pursuant to Rule 144, subject to volume limitations and Rule 144 filing requirements, as well as ",,,,,,880N1-01652,D_top_by_year,2018,0,c5187b6b-b447-4942-a4d4-5c59c91f1cf8,0001045810-18-000010,0001045810,NVDA,Nvidia,Information Technology,Semiconductors,10-K,2018-02-28,2018,business,6,512,3526,True,0.55615,0.58430,0.41778,0.27514,0.16602,6.46907,18,24,,"our target markets. Extending our technology and platform leadership in AI. Deep learning is fundamental to the evolution of AI. We provide a complete, end-to-end GPU computing platform for deep learning, addressing both training and inferencing. This includes GPUs, our CUDA programming language, algorithms, libraries, and system software. GPUs are uniquely suited to AI, and we will continue to add AI-specific features to our GPU architecture to further extend our leadership position. Our AI technology leadership is reinforced by our large and expanding ecosystem in a virtuous cycle. Our GPU platforms are available from virtually every major server maker and cloud service provider, as well as on our own AI supercomputer. There are over 700,000 CUDA developers worldwide who write programs using CUDA to help deploy our technology in our target markets. We evangelize AI through partnerships with hundreds of universities and more than 2,000 startups through our Inception program. Additionally, our Deep Learning Institute provides instruction on the latest techniques on how to 7 Table of Contents design, train, and deploy neural network-powered machine learning in applications. It covers widely used open-source frameworks and NVIDIA’s latest GPU-accelerated deep learning platforms. Extending our technology and platform leadership in visual computing. We believe that visual computing is fundamental to the continued expansion and evolution of computing. We apply our research and development resources to extending our leadership in visual computing, enabling us to enhance the user experience for consumer entertainment and professional visualization applications. Our technologies are instrumental in driving gaming forward, as developers leverage our libraries and algorithms to create near-cinematic and VR experiences. Our close collaboration with game developers allows us to deliver an optimized gaming experience on our GeForce platform. Our GeForce Experience gaming applica",,,,,,881N1-01653,D_top_by_year,2018,0,2dd5f890-9676-4a88-973e-b150eca78bc6,0001443646-18-000100,0001443646,BAH,BOOZ ALLEN HAMILTON HOLDING CLASS,Industrials,Services-Management Consulting Services,10-K,2018-05-29,2018,business,5,512,3590,True,0.61901,0.50969,0.56918,0.29425,0.44014,6.42162,3,3,,"enhances future revenue opportunities and accelerates solutions to clients, monetizes the firm's intellectual property, and creates differentiated business models and sales channels to drive greater value for our clients. In addition, we are an essential partner in regional innovation communities all over the country. Through our innovation ecosystem, we are focused on solution co-creation and technology scouting, and are physically co-locating, co-creating, mentoring, incubating, contributing, and investing with organizations in Washington, D.C.; Boston, Massachusetts; Austin, Texas; San Francisco, California; and from Seattle, Washington to San Diego, California (the corridor of venture capitalists and digital powerhouses), with new hubs in Herndon, Virginia, Laurel, Maryland, and Charleston, South Carolina. We harness next- 5 generation technologies being created in academic, startup, and big technology firms to imagine and incubate new offerings, solutions, and growth for the company. In addition to our service offerings, Booz Allen is driving focused innovation in areas expected to create integrated capabilities, drive next generation expertise, and develop business over the long term. These innovation areas include: • Machine Intelligenceapplies and scales the use of machine learning and artificial intelligence to fundamentally transform how our clients perform their missions and run their organizations in a future where people and increasingly intelligent machines collaborate to solve our hardest problems. We are continuing to develop new capabilities in exciting areas, such as quantum computing and deep learning, to create long-term differentiation and value. • Directed Energytechnologies use high-energy lasers or high-powered microwaves to efficiently disrupt or damage targets with non-kinetic, speed-of-light engagement. Through our Directed Energy business, we can help clients as a technology maturation agent, integrator, and solutions provider. Our Long-T",,,,,,882N1-01654,D_top_by_year,2018,0,89560a6a-9505-49c0-8fb8-5b1289dc1ddb,0000934549-18-000007,0000934549,ACTG,ACACIA RESEARCH,Financials,Patent Owners & Lessors,10-K,2018-03-07,2018,md_and_a,2,512,3381,True,0.57290,0.55261,0.56107,0.34472,0.37987,6.38181,9,9,,"Inc. In the third quarter of 2017, CCE entered into an agreement with Apple Inc. to resolve the patent litigation. Partnerships. We may from time to time evaluate other business opportunities which complement, or supplement, our primary licensing and enforcement business and leverage our intellectual property expertise. For example, in June 2017, we partnered with Miso Robotics, an innovative leader in robotics and AI solutions, which included an equity investment totaling $2.25 million, as part of Miso Robotics’ closing of $3.1 million in Series A funding. In addition, in February 2018, we made an additional strategic equity investment totaling $6.0 million in the Series B financing round for Miso Robotics. Miso Robotics will use the capital to expand its suite of collaborative, adaptable robotic kitchen assistants and to broaden applications for Miso AI, the company’s machine learning cloud platform. In addition, we also entered into an IP services agreement with Miso Robotics to help the company drive AI-based solutions for the entire restaurant industry. Our partnership with Miso Robotics represents our second partnership with companies seeking to transform the marketplace through Artificial Intelligence. In August 2016, we announced the formation of a partnership with Veritone, a leading cloud-based Artificial Intelligence technology company that is pioneering next generation search and analytics through their proprietary Cognitive Media Platform™. Under the partnership, we have the ability to leverage our intellectual property expertise to assist Veritone with building its patent portfolio and executing upon its overall intellectual property strategy. In order to enhance Veritone’s leadership position in the field of machine learning and AI, we provided a total of $53.3 million in funding to Veritone pursuant to an investment agreement executed in August 2016, as amended. Upon Veritone’s consummation of its IPO, our loans and accrued interest were automaticall",,,,,,883N1-01655,D_top_by_year,2018,0,6cc3b59d-f8b2-4305-9980-9f975a00e104,0001045810-18-000010,0001045810,NVDA,Nvidia,Information Technology,Semiconductors,10-K,2018-02-28,2018,business,4,512,3588,True,0.57303,0.52683,0.45729,0.31324,0.23683,6.21969,18,18,,"to enabling fraud detection in financial services, to optimizing oil exploration and drilling. These organizations include the world’s leading cloud services companies such as Amazon, Baidu, and Facebook, which are infusing AI in applications that enable highly accurate voice recognition and real-time translation; enterprises that are increasingly turning to AI to improve products and services; and startups seeking to implement AI in disruptive ways across multiple industries. We have partnered with industry leaders such as IBM, Microsoft, and SAP to bring AI to enterprise users. We also have partnerships in healthcare and manufacturing, among others, to accelerate the adoption of AI. To enable deep learning, we provide a family of GPUs designed to speed up training and inferencing of neural networks. They are available in industry standard servers from every major computer maker worldwide, including Cisco, Dell, HP, Inspur, and Lenovo; from every major cloud service provider such as Alicloud, Amazon Web Services, Baidu Cloud, Google Cloud, IBM Cloud, Microsoft Azure, and Oracle Cloud; as well as in our DGX AI supercomputer, a purpose-built system for deep learning and GPU accelerated applications. DGX delivers performance equal to hundreds of conventional servers, comes fully integrated with hardware, deep learning software, development tools, support for existing AI frameworks, and runs popular accelerated applications. We also offer the NVIDIA GPU Cloud, or NGC, a cloud-based service for AI developers that provides comprehensive, easy-to-use, optimized deep learning software stacks. With NGC, AI developers can get started with deep learning development and deploy it with NVIDIA’s cloud partners such as Amazon. 6 Table of Contents GPUs also increase the speed of applications used in such fields as aerospace, bio-science research, mechanical and fluid simulations, and energy exploration. They have already had a significant impact on scientific discovery, including ",,,,,,884N1-01656,D_top_by_year,2018,0,1323a0d2-578f-46b3-b487-15f2a24843cb,0001193125-18-201034,0001341439,ORCL,Oracle Corporation,Information Technology,Application Software,10-K,2018-06-22,2018,business,5,512,3782,True,0.51209,0.59091,0.41106,0.26660,0.38880,6.21351,2,5,,"using elastic clusters of middleware, database servers and storage. These elastic clusters are designed to scale incrementally as required to address our customers’ IT capacity requirements, satisfy their planning and procurement needs, support their business applications with a standardized platform architecture, reduce their risk of data loss and IT infrastructure downtime and efficiently utilize available IT resources to meet quality of service expectations. In addition to utilizing these tools for modernizing their businesses, our customers are looking to build new and innovative applications leveraging emerging technologies such as IoT chatbots and AI/ML. Today, Oracle delivers applied AI functionality as a part of its Autonomous Data Warehouse Cloud Service, which is designed to deliver simplified, fast and highly elastic support for data warehousing in the Oracle Cloud, eliminating manual configuration, tuning, and scaling tasks and allowing for streamlined operations, more efficient consumption of resources, and higher security and reliability. Our Cloud Platform technologies are designed with built-in automation at all levels to perform maintenance tasks so our customers can utilize their IT resources to focus on extracting more value from the data they currently manage. Oracle infrastructure technologies provide cloud-based compute, storage and networking capabilities through our Oracle Cloud IaaS offerings. Oracle infrastructure technologies also include hardware and certain hardware-related software offerings such as Oracle Engineered Systems, servers, storage, industry-specific hardware, virtualization software, operating systems, management software and related hardware services including support at the customer’s option. We design our infrastructure technologies to work in customer environments that may include other Oracle or non-Oracle hardware or software components. Our flexible and open approach provides Oracle customers choice on how they utiliz",,,,,,885N1-01657,D_top_by_year,2018,0,a1c47720-05f0-4787-bfba-bc977168cfb7,0000934549-18-000007,0000934549,ACTG,ACACIA RESEARCH,Financials,Patent Owners & Lessors,10-K,2018-03-07,2018,business,6,512,3504,True,0.57422,0.51361,0.58947,0.37081,0.38499,6.14412,12,12,,"quite favorable with the user being granted rights under the patents for the patented invention in its products and services in exchange for financial remuneration. Partnership Opportunities Our team’s expertise in identifying and evaluating complex IP, and in developing and cultivating long-term business relationships, provides us a unique window into innovation and technological advancement. We have increased our efforts to leverage our expertise and experience to create new avenues which we believe will lead to increased shareholder value. In this regard, we leverage our experience, expertise, data and relationships developed as a leader in the IP industry to pursue opportunities to partner with high-growth companies in potentially disruptive technology areas. Examples of some of these technology areas include Artificial Intelligence, or AI, and machine learning, machine vision, robotics and blockchain technologies. Examples of our initial execution of this strategy are our partnerships with Veritone, Inc., or Veritone (Nasdaq: VERI), and Miso Robotics, Inc., or Miso Robotics. In June 2017, we partnered with Miso Robotics, an innovative leader in robotics and AI solutions, which included an equity investment totaling $2.25 million, as part of Miso Robotics’ closing of $3.1 million in Series A funding. In addition, in February 2018, we made an additional strategic equity investment totaling $6.0 million in the Series B financing round for Miso Robotics. Miso Robotics will use the capital to expand its suite of collaborative, adaptable robotic kitchen assistants and to broaden applications for Miso AI, the company’s machine learning cloud platform. In addition, we also entered into an IP services agreement with Miso Robotics to help the company drive AI-based solutions for the restaurant industry. Our partnership with Miso Robotics represents our second partnership with companies seeking to transform the marketplace through Artificial Intelligence. In August 2016, ",,,,,,886N1-01658,D_top_by_year,2018,0,6d9452c0-9623-4c47-b5a4-8db8cb66f1d9,0001564590-18-004031,0001398659,G,GENPACT,Industrials,Services-Management Consulting Services,10-K,2018-03-01,2018,business,1,512,3763,True,0.60120,0.47425,0.50154,0.26378,0.51716,6.07735,4,6,,"client-specific roadmap for maximizing process effectiveness. Our Digital SEPs build on our SEP framework by adding domain-specific digital products and solutions that draw on our expertise in mobility, cloud, workflow, advanced visualization, robotics, and machine learning. 4 In 2017 we launched Genpact Cora , an automation to AI-based platform that integrates our proprietary automation, analytics, and AI technologies into a single unified platform, drawing insights from our deep domain and operations expertise. Genpact Cora has a modular, interconnected mesh of technologies that help our clients hone in on their specific operational business challenges and tackle them from beginning to end. Our Lean Digital SM Innovation Centers help clients learn about new digital solutions that can address their specific business needs. Our innovation centers bring together clients, partners, and other industry leaders for brainstorming and hackathon-style workshops. As part of this process, we use design thinking to make the most of human capabilities, domain expertise, and innovative technology to create solutions that quickly and aptly address business needs. The result is often a quick-turnaround prototype that clients can install and test in their own environments. Industries we serve We work with clients across our chosen industry verticals, which are areas in which we believe we have deep industry acumen. Banking and financial services Our clients in this vertical include retail and commercial banks, mortgage lenders, equipment and lease financing providers, investment banks and other financial services companies. Our services for these clients include application processing, collections and customer services, equipment and auto loan servicing, mortgage origination and servicing, risk management and compliance services, reporting and monitoring services, source to pay, and wealth management operations support. Capital markets Our clients in this vertical include investmen",,,,,,887N1-01659,D_top_by_year,2018,0,940d4b5a-40bf-4d31-9f6f-d1ca47a0868c,0001047469-18-001117,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,10-K,2018-02-27,2018,business,2,512,3371,True,0.57629,0.49230,0.51513,0.40414,0.40972,6.02338,6,7,,"also creating a series of AI solutions—cognitive solutions—that embed artificial intelligence and data to change how work is done. Examples include: • Global Industry Platforms: provides cognitive, analytics, security and cloud technology in comprehensive industry-specific platforms to remove much of the cost and complexity of delivering core business functions. For example: Banking, wealth management, and insurance are some of the areas poised for dramatic change by using cognitive and AI solutions from IBM Watson Financial Services. Watson Health provides technology and expertise to empower leaders, advocates and influencers in health to accelerate discovery, make essential connections and gain confidence on their path to solving the world's biggest health challenges. • Blockchain Solutions: IBM is working with clients and developers across multiple industries to use blockchain to transform how business is done in areas such as banking and financial services and supply chain. For example, blockchain technology can be used to digitize global trade 2 processes, providing a more efficient and secure method of moving goods across borders and trading zones. • Watson IoT: includes both a cloud-based platform and industry solutions infused with AI, helping organizations mine intelligence from billions of connected devices. Enterprise Services Through Global Business Services and Global Technology Services, IBM has helped the world's most successful enterprises transition from era to era. Using proven methods, IBM Services bring globally delivered outcomes using proven methods by focusing on: • Digital Reinvention for growth: a unique framework for business transformation focused on growth opportunities. • End-to-end Services integration: Global Technology Services brings the ability to connect previously disconnected parts of an organization. By embedding Watson into these mission critical services, new levels of quality, resiliency and automation are achieved. • Pragmat",,,,,,888N1-01660,D_top_by_year,2018,0,96cce209-f53c-4886-9d5f-ec1141a7ebf2,0001628280-18-011594,0001474432,P,EVERPURE INC CLASS A,Information Technology,Computer Storage Devices,10-Q,2018-09-04,2018,md_and_a,1,512,3219,True,0.48907,0.56018,0.45170,0.27339,0.26534,5.86387,1,1,,"converged AI Infrastructure offering with NVIDIA. Since launching in May 2012, our customer base has grown to over 5,150 customers, including over 35% of the Fortune 500. We target a variety of large and mid-size cloud service providers, commercial enterprises, federal, state, and local governments, schools and healthcare organizations globally, and have deployed our platform at customers across multiple industry verticals. Our platform has been deployed in some of the largest and most sophisticated enterprises in the world as well as smaller organizations with limited IT expertise or budget, including hospitals, municipalities and school districts. Hundreds of our customers have invested north of a million dollars in leveraging our platform across their business-critical applications. We define a customer as an end user that purchases our products and services either from one of our channel partners or from us directly. No end user customer represented 10% or more of revenue in the three and six months ended July 31, 2017 and 2018 . We have continued to experience substantial growth, with revenue for the three months ended July 31, 2017 and 2018 of $ 224.7 million and $308.9 million , representing year-over-year growth of 37% . For the six months ended July 31, 2017 and 2018 our revenue was $407.3 million and $564.8 million , representing year-over-year growth of 39% . Our revenue growth rate may continue to decline as our business scales, even if our revenue continues to grow in absolute terms. We have continued to make significant expenditures and investments, including in personnel-related costs, sales and marketing, infrastructure and operations, and we have incurred net losses in each period since our inception, including net losses of $58.4 million and $60.1 million for the three months ended July 31, 2017 and 2018 , and $115.6 million and $124.4 million for the six months ended July 31, 2017 and 2018 . Since our founding, we have invested heavily in growing ",,,,,,889N1-01661,D_top_by_year,2018,0,0a9df3ad-b44a-448c-b8c7-c7db79259163,0001564590-18-022453,0001078271,EXTR,EXTREME NETWORKS,Information Technology,Computer Communications Equipment,10-K,2018-08-29,2018,business,3,512,3534,True,0.52123,0.51207,0.50766,0.37675,0.41822,5.77670,12,17,,"(“LANs”) within a limited geographical area, such as a college campus, company campus, hospital, hotel, convention center or sports venue. • Data Center:A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems. It generally includes redundant or backup power supplies, redundant data communications connections, environmental controls (e.g. air conditioning, fire suppression) and various security devices. • Data Center Fabrictechnologies: Also known as networking switch fabric, is the basic topology of how a network is laid out and connected to switch traffic on a data or circuit-switched network. • Stackstorm: A platform for integration and automation across services and tools. It ties existing infrastructure and application environment to automate that environment. It has a particular focus on taking actions in response to events. • Artificial Intelligence: Artificial Intelligence (“AI”) is a set of technologies that enable computers to simulate the cognitive knowledge-processing capabilities of humans. Because it is artificial, the objective of most work in AI is toaugmentthe capabilities of humans, not to replace them. Just as computers in general are applied to the tedious and repetitive tasks that humans find tedious, AI-based solutions can deal with often large (“Big Data”) volumes of digitally-encoded information dispassionately, unemotionally, rapidly, and, depending upon the parameters of a specific application and implementation, accurately. In network administration, AI can be applied to dealing with the “more-variables-than-equations nature” of radio frequency settings in even very- large-scale Wi-Fi installations. The goal is to achieve optimal network-wide performance more accurately and at lower cost than would be possible with humans alone. • Machine Learning: Machine Learning (“ML”) is a set of technologies, and itself a branch of AI, that enables computers to simulate human ",,,,,,890N1-01662,D_top_by_year,2018,0,bb925ffa-42ed-47b6-8885-e89fb8082f37,0001193125-18-067193,0001173489,CEVA,CEVA,Information Technology,"Services-Computer Programming, Data Processing, Etc.",10-K,2018-03-01,2018,business,1,512,3628,True,0.49022,0.54272,0.47094,0.33127,0.30634,5.76121,9,9,,"Israel and the United States. CEVA is traded on the NASDAQ Global Market under the symbol “CEVA”. Industry Background DSP Cores Digital signal processing is a key technology that is powering many of today’s fastest growing electronics markets. Digital signal processors (DSPs) are specialized high-speed processors that are optimized for performing repetitive arithmetic calculations on an array of data. DSPs provide the foundation supporting a vast 4 Table of Contents majority of today’s electronic products that are smart and connected and enable sensing and wireless communications capabilities (e.g. LTE and 5G baseband processing, computer vision, deep neural network, sound processing and analytics). AI Processors Artificial intelligence processors are a new breed of processors designed to enable AI-related workloads such as classification, pattern matching, prediction and detection to be performed on a device, with no cloud connection required. These processors mimic the human brain, allowing them to perform cognitive tasks for a wide range of functions, including vision, sound, real-time translation, user behavior and malware detection. AI processors will make their way into billions of devices in the coming years, including IoT, mobile, medical, industrial and automotive applications. Short Range Wireless IPs Wi-Fi and Bluetooth low energy and dual mode are key technologies for any company looking to address the Internet-of-Things (“IoT”). Moreover, many companies wish to integrate these connectivity technologies into SoC designs rather than provide connectivity through an additional chip in the system. Through our connectivity business unit, we are able to expand further into the Wi-Fi and Bluetooth smart connectivity markets. The advent of IoT has resulted in significant demand for connectivity IPs that solves a crucial void in many companies’ strategies to address this burgeoning market. Wi-Fi and Bluetooth standards are constantly evolving, and the many differ",,,,,,891N1-01663,D_top_by_year,2018,0,a7e2eef4-ed17-49ca-b3cc-b0b55a3e5bb2,0001193125-18-244307,0001173489,CEVA,CEVA,Information Technology,"Services-Computer Programming, Data Processing, Etc.",10-Q,2018-08-09,2018,md_and_a,3,512,3360,True,0.51041,0.51384,0.49617,0.24891,0.29308,5.71490,7,8,,"such as smarter autofocus, better picture using super resolution algorithms, and better image capture inlow-lightenvironments. Other customers can add video analytics support to enable new services like augmented reality, gesture recognition and advanced safety capabilities in cars. This transformation in vision processing and neural net software are opportunities for us to expand our footprint and content in smartphones, drones, consumer cameras, surveillance, automotive ADAS and industrial IoT applications. • Beyond vision, neural networks are increasingly being deployed for a wide range of markets in order to make devices “smarter.” These markets include IoT, smartphones, surveillance, automotive, robotics, medical and industrial. To address this significant and lucrative opportunity, we recently announced CEVA-NeuPro™—a family of AI processors for deep learning at the edge. These self-contained AI processors are the firstnon-DSPprocessors ever developed by CEVA and bring the power of deep learning to the device, without relying on connectivity to the cloud. We believe this market opportunity for AI at the edge is on top of our existing product lines and represents a new licensing and royalty driver for the company in the coming years. During the first half of 2018, we signed three leading customers for our CEVA-NeuPro AI processors targeting the ADAS, surveillance, and consumer camera markets. 26 Table of Contents • As a result of the lower royalty revenue for the first half of 2018, the expectation of continued weakness with a Chinese handset baseband customer for the remainder of 2018, and the lack of visibility and uncertainty for the timing of resumption of royalties with the well-publicized ban of a Chinese base station customer, we are lowering our 2018 annual royalty guidance to a level representing a 10% decrease from 2017 royalty revenue. While it is encouraging that the base station customer has resumed operations, we assume that it will take them a fe",,,,,,892N1-01664,D_top_by_year,2018,0,daafe7e3-e58d-4867-884c-e2c7dc43d377,0001069183-18-000020,0001069183,AXON,Axon Enterprise,Industrials,Aerospace & Defense,10-K,2018-03-01,2018,business,2,512,3422,True,0.53757,0.48276,0.51779,0.47227,0.39374,5.70170,5,5,,"to our customers. Technological innovation is key to all four long-term growth areas. By investing in R&D, we intend to continue to develop novel, high-value solutions across our product platforms and expand our total addressable market within the law enforcement and public safety vertical markets. In 2017, we invested heavily in a new artificial intelligence (“AI”) group, Axon AI. Through two acquisitions plus additional hires, we have developed a team that is delivering AI features in our products as well as winning industry recognition. In 2017, we were named the preferred AI vendor for the Los Angeles Police Department. In early 2018, we opened an R&D office in Tampere, Finland, with 10 imaging and sensor experts who will work with our existing teams to create best-in-class smart cameras that integrate with our cloud platform. We also continue to add engineering talent to our Scottsdale headquarters and Seattle engineering and development office. Company Organization Axon sells its products to law enforcement worldwide through its direct sales force, distribution partners, online store and third-party resellers. The Company manages its business primarily on a geographic basis, with various sales representatives strategically located throughout the world. Domestic and international law enforcement agencies are primarily served through the Company's headquarters in Scottsdale, Arizona, and its software engineering development center located in Seattle, Washington. The Company also has subsidiaries located in the United Kingdom, Germany, the Netherlands, Australia, Vietnam and Canada. The Company’s operations are comprised of two reportable segments: the sale of CEWs, accessories and other related products and services (the “TASER Weapons” segment); and the software and sensors business, focused on Axon devices, wearables, applications, cloud and mobile products (the ""Software and Sensors"" segment). Within the Software and Sensors segment, the Company includes only",,,,,,893N1-01665,D_top_by_year,2018,0,9338ad6e-6e38-4065-80b6-d477ae985bc5,0001045810-18-000080,0001045810,NVDA,Nvidia,Information Technology,Semiconductors,10-Q,2018-05-22,2018,md_and_a,3,512,3236,True,0.50811,0.51388,0.34144,0.18652,0.19636,5.69964,2,3,,"in real time. We also unveiled advances to our deep learning computing platform - including NVIDIA Tesla V100 GPUs with 32GB memory, NVIDIA NVSwitch GPU interconnect fabric, NVIDIA DGX-2, and TensorRT 4, the latest version of the TensorRT AI inference accelerator software. In addition, we announced GPU acceleration for Kubernetes to facilitate enterprise inference deployment on multi-cloud GPU clusters and the Quadro GV100 GPU with RTX technology, making real-time ray tracing possible on professional design and content creation applications. Tegra Processor Business During the first quarter of fiscal year 2019 , we introduced the NVIDIA DRIVE Constellation server with DRIVE Sim software, a complete system to safely test drive autonomous vehicles over billions of miles in virtual reality by leveraging NVIDIA GPUs and NVIDIA DRIVE Pegasus. Financial Information by Business Segment and Geographic Data Refer to Note 1 5 of the Notes to Condensed Consolidated Financial Statements for disclosure regarding segment information. 22 Results of Operations The following table sets forth, for the periods indicated, certain items in our Condensed Consolidated Statements of Income expressed as a percentage of revenue. Three Months Ended April 29,2018 April 30,2017 Revenue 100.0 % 100.0 % Cost of revenue 35.5 40.6 Gross profit 64.5 59.4 Operating expenses Research and development 16.9 21.2 Sales, general and administrative 7.2 9.6 Total operating expenses 24.1 30.8 Income from operations 40.4 28.6 Interest income 0.8 0.8 Interest expense (0.5 ) (0.8 ) Other, net 0.2 (0.9 ) Total other income (expense) 0.5 (0.9 ) Income before income tax 40.9 27.7 Income tax expense 2.1 1.5 Net income 38.8 % 26.2 % Revenue Revenue by Reportable Segments Three Months Ended April 29,2018 April 30,2017 $Change %Change ($ in millions) GPU $ 2,765 $ 1,562 $ 1,203 77 % Tegra Processor 442 332 110 33 % All Other — 43 (43 ) (100 )% Total $ 3,207 $ 1,937 $ 1,270 66 % GPU Business. GPU business revenue increa",,,,,,894N1-01666,D_top_by_year,2018,0,5a9b72eb-8add-4aeb-a2f9-76fd83287d1c,0001628280-18-007756,0001474432,P,EVERPURE INC CLASS A,Information Technology,Computer Storage Devices,10-Q,2018-06-08,2018,md_and_a,2,512,3377,True,0.47142,0.55154,0.38724,0.23983,0.19085,5.69009,3,3,,"revenue generated from customers outside of the United States was 25% of our total revenue for the year ended January 31, 2018 and 28% for the three months ended April 30, 2018 . As a result of our strategy to increase our investments in research and development, sales, marketing, support and international expansion, we expect to continue to incur operating losses and negative cash flows from operations in the near future and may require additional capital resources to execute strategic initiatives to grow our business. Recent Developments In March 2018, we announced Artificial Intelligence Ready Infrastructure (AIRI), the industry’s first AI-ready converged infrastructure solution, in partnership with NVIDIA. In May 2018, we held Pure//Accelerate, our annual user conference, and introduced a number of new product and service offerings including: • Evergreen Storage Service (ES2), a cloud-like, storage consumption offering that enables customers to purchase on-premises or offsite-hosted private storage on a pay-per-use basis. • New FlashArray//X, powered by NVMe and NVMe-oF, featuringShared Accelerated Storagewith the ability to unite SAN and DAS into a single, consolidated, shared, and more efficient data-center architecture. • AIRI Mini, enabling customers to gain competitive advantage through AI at a price point accessible for many organizations. In April 2018, we issued $575.0 million of 0.125% convertible senior notes due 2023, in a private placement and received proceeds of $562.1 million, after deducting the underwriters' discounts and commissions. The Notes are unsecured obligations that do not contain any financial covenants or restrictions on the payments of dividends, the incurrence of indebtedness, or the issuance or repurchase of securities by us or any of our subsidiaries. See further discussion in Note 5 in Part I, Item 1 of this Quarterly Report on Form 10-Q. Our Business Model We sell our data platform predominantly through a high touch, channel-ful",,,,,,895N1-01667,D_top_by_year,2018,0,9c228819-c63f-44f6-bf1c-edbac7ff396e,0001193125-18-058491,0001013857,PEGA,PEGASYSTEMS,Information Technology,Services-Computer Processing & Data Preparation,10-K,2018-02-26,2018,business,0,512,3820,True,0.55185,0.46243,0.50349,0.29216,0.47702,5.66959,6,10,,"Our Business We develop, market, license, and support software applications for customer engagement and digital process automation, in addition to licensing our Pega ® Platform application development product for clients that wish to build and extend their own applications. We are helping our clients accelerate digital transformation, by realizing high customer engagement and achieving operational excellence, and leveraging our artificial intelligence (AI) and Robotics technology. Our cloud-architecture customer engagement and digital process automation applications—built on our unified Pega Platform—empower businesses with comprehensive no-code tools to design, extend, and scale their enterprise applications to meet strategic business needs. To grow our business, we intend to: • Grow market share by developing and delivering market-leading applications for marketing, sales, service, and operations that can work together seamlessly with maximum differentiation and minimal customization; • Executenew-marketgrowth initiatives, further expanding coverage within the Global 3000; and • Continue to scale our digital platform and invest in awareness marketing to support the way today’s clients want to buy. Whether or not we are successful depends, in part, on our ability to: • Successfully execute our marketing and sales strategies; • Appropriately manage our expenses as we grow our organization; • Effectively develop new products and enhance our existing product; and • Successfully incorporate acquired technologies into our customer relationship management (“CRM”) applications and unified Pega Platform. 4 Table of Contents Our Products The Pega Platform and applications help connect enterprises to their customers in real-time across channels, streamline business operations, and adapt to meet changing requirements. Our applications and platform intersect with and encompass several software markets, including: • Customer Relationship Management (“CRM”), • Business Process M",,,,,,896N1-01668,D_top_by_year,2018,0,74b723f4-4167-40e0-828d-3880865099cd,0001104659-18-048404,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,10-Q,2018-07-31,2018,md_and_a,11,512,3213,True,0.53305,0.47423,0.46498,0.30245,0.35353,5.61727,2,3,,"million grew 3.0 percent as reported and was flat adjusted for currency, with growth in Solutions Software both as reported and adjusted for currency. Transaction Processing Software revenue grew as reported, but declined adjusted for currency. In the second quarter, Solutions Software revenue of $3,214 million increased 0.6 percent as reported, but declined 1 percent adjusted for currency compared to the prior year. The company continues to scale new platforms, solutions and 62 Table of Contents Management Discussion – (continued) industry verticals and grow its Software-as-a-Service offerings. There was growth in key areas, such as analytics, Watson platforms and industry-specific solutions, which continue to scale. This was offset by transition in other areas, including talent, collaboration and commerce, as the company continues to modernize these offerings in response to secular market shifts. Within Solutions Software, analytics grew year-to-year as reported and adjusted for currency driven by growth in the DB2 portfolio, data science offerings and the new IBM Cloud Private for Data offering, which makes data ready for AI. Within industry solutions, strong growth was led by Watson Financial Services, which leverages businesses expertise to help clients manage increasing regulatory requirements and Watson IoT, as the business continues to embed AI across the IoT portfolio. Transaction Processing Software revenue of $1,366 million was flat as reported, but declined 2 percent adjusted for currency, driven by declines in Storage software partially offset by growth in IBM Z and Power Systems middleware. Cognitive Solutions second-quarter strategic imperatives revenue of $3.0 billion grew 1 percent year to year as reported, but was flat adjusted for currency. Cloud revenue of $0.6 billion was flat as reported, but declined 1 percent adjusted for currency, with an as-a-Service exit run rate of $2.0 billion. For the first six months of the year, Cognitive Solutions st",,,,,,897N1-01669,D_top_by_year,2018,0,8761db38-cb4e-488e-8731-b25f06a0af78,0001108524-18-000011,0001108524,CRM,Salesforce,Information Technology,Application Software,10-K,2018-03-09,2018,business,9,512,3405,True,0.49181,0.51361,0.55607,0.43029,0.33754,5.58794,1,2,,"software companies; and • AI solutions from new startups and established companies. 8 Table of Contents We believe that as traditional enterprise software application and platform vendors shift more of their focus to cloud computing, they may become a greater competitive threat. Strategic Investments Since 2009, we have been investing in early- to late-stage technology and professional cloud service companies across the globe to support our key business initiatives, which include, among other things, extending the capabilities of our platform and service offerings, increasing the ecosystem of enterprise cloud companies and partners, accelerating the adoption of cloud technologies and creating the next-generation of mobile applications and connected products. Our minority investments in over 200 companies as of January 31, 2018 also help us stay connected with the rapid pace of innovation that is currently occurring within the technology industry. In some cases, we have acquired companies in which we have previously invested. Due to the inherent risk in investing, our individual investments are subject to a risk of partial or total loss of investment capital. Intellectual Property We rely on a combination of trademarks, copyrights, trade secrets and patents, as well as contractual provisions, to protect our proprietary technology and our brands. We also enter into confidentiality and proprietary rights agreements with our employees, consultants and other third parties and control access to software, services, documentation and other proprietary information. We believe the duration of our patents is adequate relative to the expected lives of our service offerings. We also purchase or license technology that we incorporate into our products or services. At times, we make select intellectual property broadly available at no or low cost to achieve a strategic objective, such as promoting industry standards, advancing interoperability, fostering open source software or at",,,,,,898N1-01670,D_top_by_year,2018,0,cd3e1934-b156-41f7-bb06-dfb4580929c1,0000040533-18-000008,0000040533,GD,General Dynamics,Industrials,Aerospace & Defense,10-K,2018-02-12,2018,business,6,512,3663,True,0.47644,0.52921,0.31481,0.40535,0.32476,5.58278,0,1,,"efficient, scalable and cost-effective. 7 We have extensive experience consolidating, building and operating data centers. In 2017, we were awarded an enterprise IT contract to support the Defense Logistics Agency’s J6 Enterprise Technology Services program and a contract to modernize NATO’s IT infrastructure that supports NATO member countries. The group was also awarded a large contract to manage an intelligence community agency’s global data center and hybrid cloud environment. The group is at the forefront of agile development, big data analytics and cloud and virtualization technologies and services, offering solutions that meet multiple federal government and military compliance requirements. We developed and deployed the largest virtual desktop environment for the intelligence community, with over 80,000 users. We also support security operations and computer network defense centers across multiple intelligence agencies, with more than 100,000 accounts and 50,000 devices across classified and unclassified networks. We provide leading-edge training strategies and technologies for military operations, range support, simulation and professional development. For example, we deliver education curricula and training throughout the Navy and live, virtual, constructive and gaming capabilities to more than half of the Army’s Mission Training Complexes. In 2017, we were awarded three contracts to continue delivering education and training support services to the Naval Education and Training Command. The group’s technical and professional support services include providing domain specialists and technical solutions to help customers meet technology, operational, critical planning and staffing needs. We provide these services to the U.S. Department of Homeland Security, U.S. Special Operations Command, and intelligence and defense customers, as well as to federal civilian agencies, including the U.S. Census Bureau and the Centers for Medicare & Medicaid Services. C4 miss",,,,,,899N1-01671,D_top_by_year,2018,0,fd9949a8-7cee-49c9-9069-3b46f0a941a7,0001045810-18-000010,0001045810,NVDA,Nvidia,Information Technology,Semiconductors,10-K,2018-02-28,2018,business,0,512,3337,True,0.50154,0.50056,0.37926,0.16552,0.16152,5.57108,8,10,,"Our Company Starting with a focus on PC graphics, NVIDIA invented the graphics processing unit, or GPU, to solve some of the most complex problems in computer science. We have extended our focus in recent years to the revolutionary field of artificial intelligence, or AI. Fueled by the sustained demand for better 3D graphics and the scale of the gaming market, NVIDIA has evolved the GPU into a computer brain at the intersection of virtual reality, or VR, high performance computing, or HPC, and AI. The GPU was initially used to simulate human imagination, enabling the virtual worlds of video games and films. Today, it also simulates human intelligence, enabling a deeper understanding of the physical world. Its parallel processing capabilities, supported by up to thousands of computing cores, are essential to running deep learning algorithms. This form of AI, in which software writes itself by learning from data, can serve as the brain of computers, robots and self-driving cars that can perceive and understand the world. GPU-powered deep learning is being rapidly adopted by thousands of enterprises to deliver services and features that would have been impossible with traditional coding. NVIDIA has a platform strategy, bringing together hardware, system software, programmable algorithms, libraries, systems, and services to create unique value for the markets we serve. While the requirements of these end markets are diverse, we address them with a unified underlying architecture leveraging our GPUs and Compute Unified Device Architecture, or CUDA, as the fundamental building blocks. The programmable nature of our architecture allows us to support several multi-billion dollar end markets with the same underlying technology by using a variety of software stacks developed either internally or by third party developers and partners. The large and growing number of developers for each of our platforms strengthens our ecosystem and increases the value of our platform to our c",,,,,,900N1-01672,D_top_by_year,2018,0,0c14c068-d6bc-4956-9576-5111c2c43ca4,0001108524-18-000011,0001108524,CRM,Salesforce,Information Technology,Application Software,10-K,2018-03-09,2018,business,2,512,3689,True,0.50025,0.50054,0.41275,0.30947,0.25917,5.56219,3,4,,"Health Cloud is a patient and member relationship platform that harnesses our cloud, social and mobile technologies to deliver more personalized engagement by providing a complete view of the patient, intelligent care collaboration and a connected patient engagement experience. Government Cloud provides departments and agencies with a group of connected cloud services and solutions enabling any agency to build modern, connected app experiences that empower them to work faster, smarter and the way they want. Salesforce Platform. The Salesforce Platform includes tools customers can leverage to build intelligent and connected enterprise apps. Thousands of partner-built apps and millions of custom apps built by customers have been developed on the Salesforce Platform. The Salesforce Platform also offers a full continuum of AI, no-code, low-code and code development and integration services, including Trailhead, Einstein AI, Lightning, IoT, Heroku, Analytics and the AppExchange. 4 Table of Contents • Trailheadis our free, gamified, interactive online learning platform, where anyone can become a Trailblazer by learning in-demand skills, including administering our services and developing on the Salesforce Platform. • Einstein AIis a setofadvanced AI capabilities embedded across the entire Salesforce Platform thatautomatically discovers relevant insights, predicts future behavior, proactively recommends best next actions and automates tasks. • Salesforce Lightningis a component-based experience, platform and ecosystem that allows customers to create apps fast with clicks, not code. • IoTis a platform service that allowsbusinesses to use IoT data at scale with tools to create rules-based automation to deliver proactive sales, service and marketing. • Herokuis an app development Platform-as-a-Service for building mobile and web customer apps. • Analyticsdelivers complete, intelligent analytics so customers can explore their business data, uncover new insights, make smarter d",,,,,,901N1-01673,D_top_by_year,2018,0,3c164dcc-9fb7-4a48-ba92-3f7cc285ecc7,0001324424-18-000006,0001324424,EXPE,Expedia Group,Consumer Discretionary,"Hotels, Resorts & Cruise Lines",10-K,2018-02-09,2018,other_information,24,512,3450,True,0.48141,0.52005,0.53853,0.21441,0.40529,5.55840,2,5,,"Amazon’s Echo and Alexa Voice and Google Home, and developing technologies, such as machine learning, artificial intelligence, chatbot and virtual reality technologies, have, and will continue to require, new and costly investments. Transitioning to these new technologies may be disruptive to resources and the services we provide, and may increase our reliance on third party service providers. For example, we are in the midst of a multi-year project to migrate products, data storage and functionality and significantly increase our utilization of public cloud computing services, such as Amazon Web Services. In addition, we may not be successful, or may be less successful than our current or new competitors, in developing technology that operates effectively across multiple devices and platforms and that is appealing to consumers, either of which would negatively impact our business and financial performance. New developments in other areas, such as cloud computing and software as a service provider, could also make it easier for competition to enter our markets due to lower up-front technology costs. In addition, we may not be able to maintain our existing systems or replace or introduce new technologies and systems as quickly as we would like or in a cost-effective manner. We have been engaged in a multi-year effort to migrate key portions of our consumer, affiliate and corporate travel sites, and back office application functionality, to new technology platforms to enable us to improve conversion, innovate more rapidly, achieve better search engine optimization and improve our site merchandising and transaction processing capabilities, among other anticipated benefits. Implementations and system enhancements such as these have been in the past, and may continue to be in the future, more time consuming and expensive than originally anticipated, and the resources devoted to those efforts have adversely affected, and may continue to adversely affect, our ability to de",,,,,,902N1-01674,D_top_by_year,2018,0,75b0e25f-8c2d-401b-96d7-96281869a9a5,0001564590-18-004031,0001398659,G,GENPACT,Industrials,Services-Management Consulting Services,10-K,2018-03-01,2018,risk_factors,1,512,3257,True,0.49324,0.50526,0.54925,0.24504,0.43552,5.54480,2,4,,"offerings, which are continually evolving as developments such as AI, automation, Internet of Things and as-a-service solutions are commercialized. Technological developments such as these may materially affect the cost and use of technology by our clients and, in the case of as-a-service solutions, could affect the nature of how we generate revenue. Some of these technologies, such as cloud-based services, AI and automation, and others that may emerge, have reduced and replaced some of our historical services and solutions and may continue to do so in the future. This has caused, and may in the future cause, clients to delay spending under existing contracts and engagements and to delay entering into new contracts while they evaluate new technologies. Such delays can negatively impact our results of operations if the pace and level of spending on new technologies is not sufficient to make up any shortfall. 16 Developments in the industries we serve, which may be rapid, also could shift demand to new services and solutions. If, as a result of new technologies or changes in the industries we serve, our clients demand new services and solutions, we may be less competitive in these new areas or need to make significant investment to meet that demand. Our growth strategy focuses on responding to these types of developments by driving innovation that will enable us to expand our business into new growth areas. If we do not sufficiently invest in new technology and adapt to industry developments, or evolve and expand our business at sufficient speed and scale, or if we do not make the right strategic investments to respond to these developments and successfully drive innovation, our services and solutions, our results of operations, and our ability to develop and maintain a competitive advantage and to execute on our growth strategy could be negatively affected. Companies in the industries we serve sometimes seek to achieve economies of scale and other synergies by combin",,,,,,903N1-01675,D_top_by_year,2018,0,aa137377-5ee2-415c-8c29-f42866e5250d,0000934549-18-000007,0000934549,ACTG,ACACIA RESEARCH,Financials,Patent Owners & Lessors,10-K,2018-03-07,2018,risk_factors,8,512,3405,True,0.52359,0.46898,0.53782,0.35383,0.34205,5.52025,5,5,,"which we have the ability to leverage our expertise in intellectual property licensing and enforcement to assist Veritone with building its patent portfolio and execute upon its overall intellectual property strategy. As a part of this partnership, we entered into an investment agreement and bridge financing with Veritone, investing approximately $53.3 million in Veritone, comprised of common stock and warrants as of December 31, 2017. 12 In addition, in June 2017, we partnered with Miso Robotics, an innovative leader in robotics and AI solutions, which included an equity investment totaling $2.25 million, as part of Miso Robotics’ closing of $3.1 million in Series A funding. In addition, in February 2018, we made an additional strategic equity investment totaling $6.0 million in the Series B financing round for Miso Robotics. Miso Robotics will use the new capital to expand its suite of collaborative, adaptable robotic kitchen assistants and to broaden applications for Miso AI, the company’s machine learning cloud platform. In addition, we also entered into an intellectual property services agreement with Miso Robotics to help Miso Robotics drive AI-based solutions for the restaurant industry. Our current partnerships and related equity investments are subject to a high degree of risk and could diminish our financial condition. Currently, none of our investees are profitable and have limited financial resources. The overall sustained economic uncertainty, as well as financial, operational and other difficulties encountered by certain companies in which we have equity investments increases the risk that the actual amounts realized in the future on our debt and equity investments will differ significantly from the fair values currently assigned to them. In addition, the companies in which we have equity investments or with whom we partner may not be able to compete effectively or there may be insufficient demand for the services and products offered by these companie",,,,,,904N1-01676,D_top_by_year,2022,0,3457c4b9-fde8-41b9-9bb6-ca89988be51c,0001045810-22-000036,0001045810,NVDA,Nvidia,Information Technology,Semiconductors,10-K,2022-03-18,2022,business,3,512,3621,True,0.73381,0.63505,0.59505,0.33074,0.44941,7.98908,11,16,,"provide predictions in production use cases. Machine learning is a related approach that leverages algorithms as well as data to learn how to make determinations or predictions, and is often used in data science. HPC, also referred to as scientific computing, uses numerical computational approaches to solve large and complex problems. For both AI and HPC applications, the 5 Table of Contents NVIDIA accelerated computing platform greatly increases the performance and power efficiency of high-performance computers and data centers. We are engaged with thousands of organizations working on AI in a multitude of industries, from automating tasks such as consumer product and service recommendations, to chatbots for the automation of or assistance with live customer interactions, to enabling fraud detection in financial services, to optimizing oil exploration and drilling. These organizations include the world’s leading consumer internet and cloud services companies, enterprises and startups seeking to implement AI in transformative ways across multiple industries. We partnered with industry leaders such as Amazon, Inc., or Amazon, Alphabet Inc., or Alphabet, International Business Machines Corporation, or IBM, Microsoft Corporation, or Microsoft, Oracle Corporation, or Oracle, SAP SE, and VMware Inc. to bring AI to enterprise users. We also have partnerships in transportation, retail, healthcare, and manufacturing, among others, to accelerate the adoption of AI. At the foundation of the NVIDIA accelerated computing platform are our GPUs, which excel at parallel workloads such as the training and inferencing of neural networks. They are available in industry standard servers from every major computer maker, including Cisco Systems, Inc., or Cisco, Dell Technologies Inc., Hewlett Packard Enterprise Company, or HP, Hitachi Vantara, Inspur Group, and Lenovo Group Limited; from every major cloud service provider such as Alicloud, Amazon Web Services, Baidu Cloud, Google Cloud,",,,,,,905N1-01677,D_top_by_year,2022,0,11d1cafa-8ad3-44ef-ad05-3ea53a7af464,0001628280-22-004786,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-Q,2022-03-03,2022,md_and_a,4,512,3448,True,0.60041,0.62922,0.52267,0.35521,0.37593,7.05185,5,5,,"we deploy a motivated and highly educated team of C3 AI personnel and partners. We go-to-market primarily leveraging our direct sales force. We also complement and supplement our sales force with a number of go-to-market partners. • Industry Partners. We have developed an alliance program to partner with recognized leaders in their respective industries, such as Baker Hughes, Fidelity National Information Services, or FIS, and Raytheon, to develop, market, and sell solutions that are natively built on or tightly integrated with the C3 AI Suite. • Consulting and Services Partners. We partner with a number of systems integrators specializing in Enterprise AI implementations. • Hyperscale Cloud and Infrastructure. We have formed global strategic go-to-market alliances with hyperscale cloud providers including Amazon, FIS, Google, and Microsoft. In addition, we have strategic alliances with leading hardware infrastructure providers to deliver our software optimized for their technology. These partners include Hewlett Packard Enterprise and Intel. These partners supply infrastructure solutions, data management and processing services, or hardware and networking devices (e.g., IoT gateways) to support C3.ai product implementations and complement C3 AI’s products. • Independent Software Vendors. We partner with Independent Software Vendors who develop, market, and sell application solutions that are natively built on or tightly integrated with the C3 AI Suite. 32 Table of Contents Key Business Metric We monitor remaining performance obligations, or RPO, as a key metric to help us evaluate the health of our business, identify trends affecting our growth, formulate goals and objectives, and make strategic decisions. RPO is not necessarily indicative of future revenue growth because it does not account for the timing of customers’ consumption or their consumption of more than their contracted capacity. Moreover, RPO is influenced by several factors, including the timing of re",,,,,,906N1-01678,D_top_by_year,2022,0,8281611b-e4b3-437f-9f7a-b12f656d8e03,0001628280-22-017829,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-K,2022-06-23,2022,business,20,512,3510,True,0.63046,0.59528,0.59620,0.33737,0.37961,7.04004,12,12,,"• public cloud providers offering discrete tools and micro-services with data management, machine learning, and analytics functionality; • system integrators that develop and provide custom software solutions; • legacy data management product providers; and • strategic and technology partners who may also offer our competitors’ technology or otherwise partner with them, including our strategic partners who may offer a substantially similar solution based on a competitor’s technology or internally developed technology that is competitive with ours. Our primary competition is largely do-it-yourself, custom-developed, company-specific AI platforms and applications developed by internal IT organizations. Such efforts usually involve the integration of internally developed tools, open source solutions, and point solutions offered by independent software vendors, and/or components offered in the AWS, Microsoft Azure, or Google Cloud platforms. Frequently these efforts will be managed as professional service projects by organizations like Accenture or Lockheed Martin. These tend to be very costly and time-consuming software engineering projects, often fail, and, if at all successful, usually require many years to realize economic return. Most of our customers have tried and failed at one or more such bespoke development efforts, sometimes at great expense, before turning to C3 AI for their AI solution. We are unaware of any end-to-end Enterprise AI development platforms that are directly competitive with the C3 AI Application Platform. The commercial product offerings that were formerly positioned as functionally equivalent to C3 AI were GE Predix and IBM Watson, both multibillion-dollar software engineering efforts backed by massive promotional campaigns; we do not encounter them in competitive situations. 21 Table of Contents Sales Alliances Strategic partnerships are core to our growth strategy with market-leading companies offering highly leveraged distribution channel",,,,,,907N1-01679,D_top_by_year,2022,0,f07ce5a3-44c7-4698-8e5e-16f03ab0625a,0001628280-22-017829,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-K,2022-06-23,2022,business,0,512,3642,True,0.61707,0.58418,0.53578,0.35770,0.36398,6.87950,41,42,,"Overview C3 AI is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 AI Application Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, and C3 AI Applications, a portfolio of industry-specific software-as-a-service, or SaaS, enterprise AI applications that enable the digital transformation of organizations globally. The C3 AI Application Platform, C3 AI Applications, and our patented model-driven architecture, enable organizations to simplify and accelerate Enterprise AI application development, deployment, and administration. Our C3 AI software platform also enables developers to rapidly build applications by using conceptual models of all the elements required by an Enterprise AI application instead of having to write complex, lengthy, structured programming code to define, control, and integrate the many requisite data and microservices components to work together. We significantly reduce the effort and complexity of the Enterprise AI software engineering problem. Enterprise AI Software Solutions We have built a single, integrated solution that enables our customers to rapidly develop, deploy, and operate large-scale Enterprise AI applications across any infrastructure. Customers can deploy C3 AI applications on all major public cloud infrastructures, private cloud or hybrid environments, or directly on their servers and processors. We provide our customers and partners with an antidote to AI vendor lock-in. We offer five (5) primary families of software solutions, which we collectively refer to as our C3 AI Software: • C3 AI Application Platform, our core technology, is a comprehensive, end-to-end application development and runtime environment that is designed to allow our customers to rapidly design, develop, and deploy Enterprise AI applications of any type. • C3 AI Applications, built using the C3 AI Application Platform, is a portfolio of pre",,,,,,908N1-01680,D_top_by_year,2022,0,d3c5884a-2db2-4a61-be64-fac90a2dcae9,0001628280-22-031554,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-Q,2022-12-08,2022,md_and_a,1,512,3456,True,0.65122,0.53786,0.49681,0.27681,0.32650,6.81722,13,14,,"perform data science tasks such as building, configuring, and training AI models. • C3 AI CRM is a family of fully AI-enabled CRM solutions that combine data from CRM systems, other enterprise systems, and exogenous data sources to power accurate demand forecasting, customer churn prediction, cross-sell recommendations, and other AI-enabled sales, marketing, and service processes. • C3 AI Data Vision allows analysts to visualize, understand and leverage the relationships between data entities. This product unifies data from across systems to enable exploration and insights, enabling collaborative data analysis using interactive, intuitive graph network visualizations. These solutions, and our patented model-driven architecture, enable organizations to simplify and accelerate Enterprise AI application development, deployment, and administration. We significantly reduce the effort and complexity of the AI software engineering problem. 28 Table of Contents How We Generate Revenue We generate revenue primarily from the sale of subscriptions, which accounted for 95% and 81% of our total revenue in the three months ended October 31, 2022 and 2021, respectively, and 91% and 85% of our total revenue in the six months ended October 31, 2022 and 2021, respectively. Our cloud-native software offerings allow us to manage, update, and monitor the software regardless of whether the software is deployed in our public cloud environment, in our customers’ self-managed private or public cloud environments, or in a hybrid environment. Our subscription contracts are generally non-cancellable and non-refundable. We define a Customer-Entity as each entity that is the ultimate parent of a party contracting with us. We commonly enter into enterprise-wide agreements with Customer-Entities that include multiple operating units or divisions. We count as a Customer each distinct division, department, business unit, or group within a Customer-Entity that uses our product(s). In situations where",,,,,,909N1-01681,D_top_by_year,2022,0,9bb2b106-7301-4293-b7bd-c28f37541528,0001628280-22-024099,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-Q,2022-09-01,2022,risk_factors,12,512,3389,True,0.64535,0.54106,0.65084,0.37267,0.38219,6.79782,19,19,,"AI Software. Our future success will depend in large part on our ability to further penetrate the existing market for Enterprise AI software, as well as the continued growth and expansion of what we believe to be an emerging market for Enterprise AI platforms and applications that are faster, easier to adopt, and easier to use. Our ability to further penetrate the Enterprise AI market depends on a number of factors, including the cost, performance, and perceived value associated with our C3 AI Software, as well as customers’ willingness to adopt a different approach to data analysis. We have spent, and intend to keep spending, considerable resources to educate potential customers about digital transformation, artificial intelligence, and machine learning in general and our C3 AI Software in particular. However, we cannot be sure that these expenditures will help our C3 AI Software achieve any additional market acceptance. Furthermore, potential customers may have made significant investments in legacy analytics software systems and may be unwilling to invest in new platforms and applications. If the market fails to grow or grows more slowly than we currently expect or businesses fail to adopt our C3 AI Software, our business, operating results, and financial condition could be adversely affected. 49 Table of Contents If we fail to respond to rapid technological changes, extend our C3 AI Software, or develop new features and functionality, our ability to remain competitive could be impaired. The market for our C3 AI Software is characterized by rapid technological change and frequent new platform and application introductions and enhancements, changing customer demands, and evolving industry standards. The introduction of platforms and applications embodying new technologies can quickly make existing platforms and applications obsolete and unmarketable. Data management, machine learning, and analytics platforms and applications are inherently complex, and it can take",,,,,,910N1-01682,D_top_by_year,2022,0,0e9d1522-b3f8-46fb-a941-1a1df18082ad,0001410578-22-000489,0000903651,INOD,INNODATA,Industrials,Services-Computer Processing & Data Preparation,10-K,2022-03-24,2022,changes_in_accounting,8,512,3592,True,0.68461,0.49825,0.52850,0.37671,0.36402,6.79211,18,21,,"developed its capabilities and honed its customer- and quality-centric culture progressively over the last 30 years creating high-quality data for many of the world’s most demanding information companies. Approximately six years ago, the Company formed Innodata Labs, a research and development center, to research, develop and apply machine learning and emerging AI to its large-scale, human-intensive data operations. In 2019, the Company began packaging the capabilities that emerged from its R&D efforts in order to align with several fast-growing new markets and help companies use AI/ML to drive performance benefits and business insights. The Company anticipates this strategy will enable it to accelerate growth. AI Data Annotation The Company trains AI algorithms for social media companies, robotics companies, financial services companies, and many others, working with images, text, video and audio. Data sciences teams seek partners that can perform data preparation functions for them at large-scale and at high quality, while using automated tools to minimize cost. Moreover, as AI projects become more specialized and mission-critical, data preparation is becoming increasingly complex, requiring deep domain knowledge and an infrastructure in which data security is assured. The Company utilizes a variety of leading third-party image and video annotation tools. For text, the Company uses its proprietary data annotation platform that incorporates AI to reduce cost while improving consistency and quality of output. The Company’s proprietary text annotation platform features auto-tagging capabilities that apply to both classical and generative AI tasks. It also encapsulates many of the innovations the Company has conceived of in the course of its 30-year history of creating high-quality data. AI Digital Transformation The Company also provides AI solutions and platforms to companies that intensively process textual data and seek to obtain the benefits of AI/ML technologies",,,,,,911N1-01683,D_top_by_year,2022,0,3e8f7128-e86f-4b8b-905c-9c13282d758f,0001628280-22-008031,0001836981,BBAI,BIGBEAR.AI HOLDINGS,Information Technology,Services-Prepackaged Software,10-K,2022-03-31,2022,business,0,512,3458,True,0.65052,0.52997,0.56594,0.34330,0.34408,6.76255,9,11,,"Company Overview BigBear.ai Holdings, Inc.’s (“ BigBear.ai ” or the “ Company ”) mission is guiding our customers to realize their best possible future by delivering transformative technologies and expert, actionable advice. Through this mission, we seek to empower people to make the right decisions, at the right time, every time. BigBear.ai is a leader in the use of Artificial Intelligence (AI) and Machine Learning (ML) for decision support. We provide our customers with a competitive advantage in a world driven by data that is growing exponentially in terms of volume, variety, and velocity. We believe data – when leveraged effectively – can be a strategic asset for any organization. Through our mission-critical analytics solutions and operational expertise, we help our customers make sense of the world in which they operate, understand how known and previously unforeseen forces impact their operations, and determine which decision and course of action will best achieve their objectives. BigBear.ai products and services are widely used by government agencies in the United States to support many of the nation’s most critical defense and intelligence capabilities. These customers operate in environments of unrivaled scale and complexity, where the cost of a poor decision can be very steep, and the cost of failure devastating. They demand the most sophisticated and capable AI, ML, and predictive analytics solutions available, from a provider who understands their complex operations and can rapidly deploy technology at scale with uncompromising reliability. The need to make sense of enormous volumes of data is not unique to government agencies. Commercial enterprises have spent several decades amassing vast volumes of data, but few have the resources and AI expertise required to turn that data into actionable information for operational decision making. The complexity of integrating disparate, often dirty and incomplete data, and then applying highly technical AI tools",,,,,,912N1-01684,D_top_by_year,2022,0,1b2b0017-cf41-441e-9007-e4a9f178afbd,0001628280-22-017829,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-K,2022-06-23,2022,risk_factors,12,512,3390,True,0.64268,0.53727,0.65276,0.37434,0.38513,6.75581,18,18,,"Software. Our future success will depend in large part on our ability to further penetrate the existing market for Enterprise AI software, as well as the continued growth and expansion of what we believe to be an emerging market for Enterprise AI platforms and applications that are faster, easier to adopt, and easier to use. Our ability to further penetrate the Enterprise AI market depends on a number of factors, including the cost, performance, and perceived value associated with our C3 AI Software, as well as customers’ willingness to adopt a different approach to data analysis. We have spent, and intend to keep spending, considerable resources to educate potential customers about digital transformation, artificial intelligence, and machine learning in general and our C3 AI Software in particular. However, we cannot be sure that these expenditures will help our C3 AI Software achieve any additional market acceptance. Furthermore, potential customers may have made significant investments in legacy analytics software systems and may be unwilling to invest in new platforms and applications. If the market fails to grow or grows more slowly than we currently expect or businesses fail to adopt our C3 AI Software, our business, operating results, and financial condition could be adversely affected. 32 Table of Contents If we fail to respond to rapid technological changes, extend our C3 AI Software, or develop new features and functionality, our ability to remain competitive could be impaired. The market for our C3 AI Software is characterized by rapid technological change and frequent new platform and application introductions and enhancements, changing customer demands, and evolving industry standards. The introduction of platforms and applications embodying new technologies can quickly make existing platforms and applications obsolete and unmarketable. Data management, machine learning, and analytics platforms and applications are inherently complex, and it can take a ",,,,,,913N1-01685,D_top_by_year,2022,0,b69c1d53-7e9c-4041-b49c-461776da2ddc,0001628280-22-017829,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-K,2022-06-23,2022,md_and_a,4,512,3424,True,0.55751,0.62003,0.51545,0.35468,0.33010,6.70415,3,3,,"cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. In addition, we have strategic alliances with leading hardware infrastructure providers to deliver our software optimized for their technology. These partners include Hewlett Packard Enterprise and Intel. These partners supply infrastructure solutions, data management and processing services, or hardware and networking devices (e.g., IoT gateways) to support C3.ai product implementations and complement C3 AI’s products. • Consulting and Services Partners. We partner with a number of systems integrators specializing in Enterprise AI implementations. • Independent Software Vendors. We partner with Independent Software Vendors who develop, market, and sell application solutions that are natively built on or tightly integrated with the C3 AI Application Platform. Key Business Metric We monitor remaining performance obligations, or RPO, as a key metric to help us evaluate the health of our business, identify trends affecting our growth, formulate goals and objectives, and make strategic decisions. RPO is not necessarily indicative of future revenue growth because it does not account for the timing of customers’ consumption or their consumption of more than their contracted capacity. Moreover, RPO is influenced by several factors, including the timing of renewals, the timing of purchases of additional capacity, average contract terms, and seasonality. Due to these factors, it is important to review RPO in conjunction with revenue and other financial metrics disclosed elsewhere in this Annual Report on Form 10-K. RPO was $477.4 million and $293.8 million as of April 30, 2022 and 2021, respectively. We may experience variations in our RPO from period to period, but RPO has generally increased over the long term as a result of contracts with new customers and increasing the value of contracts with existing customers. These increases are partially offset by revenue recognized on existing contract",,,,,,914N1-01686,D_top_by_year,2022,0,ec459bfb-e75b-4e5e-96e6-7fc2c7b4c6af,0001628280-22-004786,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-Q,2022-03-03,2022,md_and_a,1,512,3467,True,0.65027,0.51684,0.52092,0.31488,0.33679,6.67787,10,11,,"data science tasks such as building, configuring, and training AI models. • C3 AI CRM is a family of fully AI-enabled, industry-specific CRM solutions that combine the CRM technology leadership and market reach of our partner ecosystem. The C3 AI CRM product family includes sales, marketing, and customer service functionality. The products are available in vertical market-specific offerings specifically designed to meet the needs of industries such as financial services, healthcare, telecommunications, oil and gas, manufacturing, utilities, aerospace, automotive, public sector, defense, and intelligence. • C3 AI Data Vision allows analysts to visualize, understand and leverage the hidden relationships between data entities. This product unifies data from across systems to enable deep exploration and insights in near real-time, enabling collaborative data analysis using interactive, intuitive graph network visualizations. These solutions, and our patented model-driven architecture, enable organizations to simplify and accelerate Enterprise AI application development, deployment, and administration. We significantly reduce the effort and complexity of the AI software engineering problem. 30 Table of Contents How We Generate Revenue We generate revenue primarily from the sale of subscriptions, which accounted for 82% and 87% of our total revenue in the three months ended January 31, 2022 and 2021, respectively, and 83% and 87% of our total revenue in the nine months ended January 31, 2022 and 2021, respectively. Our cloud-native software offerings allow us to manage, update, and monitor the software regardless of whether the software is deployed in our public cloud environment, in our customers’ self-managed private or public cloud environments, or in a hybrid environment. Our subscription contracts are generally non-cancelable and non-refundable. We define a Customer-Entity as each entity that is the ultimate parent of a party contracting with us. Our Customer-Entity ",,,,,,915N1-01687,D_top_by_year,2022,0,11f5fbab-cb2e-47d0-bfaa-997998e116f4,0001628280-22-024099,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-Q,2022-09-01,2022,md_and_a,1,512,3492,True,0.65343,0.50762,0.52140,0.31733,0.34162,6.64087,12,13,,"training to rapidly perform data science tasks such as building, configuring, and training AI models. • C3 AI CRM is a family of fully AI-enabled, industry-specific CRM solutions that combine the CRM technology leadership and market reach of our partner ecosystem. The C3 AI CRM product family includes sales, marketing, and customer service functionality. The products are available in vertical market-specific offerings specifically designed to meet the needs of industries such as financial services, healthcare, telecommunications, oil and gas, manufacturing, utilities, aerospace, automotive, public sector, defense, and intelligence. • C3 AI Data Vision allows analysts to visualize, understand and leverage the relationships between data entities. This product unifies data from across systems to enable exploration and insights, enabling collaborative data analysis using interactive, intuitive graph network visualizations. These solutions, and our patented model-driven architecture, enable organizations to simplify and accelerate Enterprise AI application development, deployment, and administration. We significantly reduce the effort and complexity of the AI software engineering problem. 25 Table of Contents How We Generate Revenue We generate revenue primarily from the sale of subscriptions, which accounted for 87% and 88% of our total revenue in the three months ended July 31, 2022 and 2021, respectively. Our cloud-native software offerings allow us to manage, update, and monitor the software regardless of whether the software is deployed in our public cloud environment, in our customers’ self-managed private or public cloud environments, or in a hybrid environment. Our subscription contracts are generally non-cancellable and non-refundable. We define a Customer-Entity as each entity that is the ultimate parent of a party contracting with us. We commonly enter into enterprise-wide agreements with Customer-Entities that include multiple operating units or divisions. We",,,,,,916N1-01688,D_top_by_year,2022,0,a4f24021-8b9a-4c0f-a677-16aca59b7225,0001628280-22-017829,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-K,2022-06-23,2022,business,13,512,3486,True,0.61238,0.55059,0.47628,0.31793,0.31546,6.63551,17,20,,"deploy machine learning models. There is a range of tools necessary to enable that, including Jupyter Notebooks, Python, DIGITS, R, and Scala. Increasingly important is an extensible curation of machine learning libraries such as TensorFlow, Caffe, Torch, Amazon Machine Learning, and AzureML. An effective AI and IoT platform needs to support them all. 16 Table of Contents • Data Visualization Tools. Any viable AI architecture needs to enable a rich and varied set of data visualization tools including Excel, Tableau, Qlik, Spotfire, Oracle BI, Business Objects, Domo, Alteryx, and others. • Developer Tools and UI Frameworks. An organization’s IT development and data science teams each have adopted and become comfortable with a set of application development frameworks and user interface development tools. An AI and IoT platform must support all of these tools—including, for example, the Eclipse IDE, VI, Visual Studio, React, Angular, R Studio, and Jupyter—or it will be rejected as unusable by the IT development teams. • Open, Extensible, Future-Proof. The current pace of software and algorithm innovation is accelerating. The techniques used today will likely be obsolete in five to 10 years. An AI and IoT platform architecture must therefore provide the capability to replace any components with their next-generation improvements. Moreover, the platform must enable the incorporation of any new open source or proprietary software innovations without adversely affecting the functionality or performance of an organization’s existing applications. This is a level-zero requirement. To meet this extensive set of requirements, C3 AI has spent the last decade and invested over $1.0 billion researching and refining these requirements, and in developing and enhancing the C3 AI Application Platform to address these requirements. The C3 AI Application Platform has been refined, tested, and proven in some of the most demanding industries and production environments—electric utilitie",,,,,,917N1-01689,D_top_by_year,2022,0,797bfe36-a0f3-4df7-b8b5-157ae41f697c,0001628280-22-004786,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-Q,2022-03-03,2022,risk_factors,12,512,3357,True,0.60873,0.55295,0.63960,0.40253,0.39286,6.62578,18,18,,"revenue, or fines or civil or criminal liability if the audit uncovers improper or illegal activities. If the market for our C3 AI Software fails to grow as we expect, or if businesses fail to adopt our C3 AI Software, our business, operating results, and financial condition could be adversely affected. It is difficult to predict customer adoption rates and demand for our C3 AI Software, the entry of competitive platforms, or the future growth rate and size of the cloud-based software and software-as-a-service, or SaaS, business software markets. A substantial majority of our revenue has come from sales of our subscription-based software products, which we expect to continue for the foreseeable future. Although demand for data management, machine learning, and analytics platforms and applications has grown in recent years, the market for these platforms and applications continues to evolve. We cannot be sure that this market will continue to grow or, even if it does grow, that businesses will adopt our C3 AI Software. Our future success will depend in large part on our ability to further penetrate the existing market for Enterprise AI software, as well as the continued growth and expansion of what we believe to be an emerging market for Enterprise AI platforms and applications that are faster, easier to adopt, and easier to use. Our ability to further penetrate the Enterprise AI market depends on a number of factors, including the cost, performance, and perceived value associated with our C3 AI Software, as well as customers’ willingness to adopt a different approach to data analysis. We have spent, and intend to keep spending, considerable resources to educate potential customers about digital transformation, artificial intelligence, and machine learning in general and our C3 AI Software in particular. However, we cannot be sure that these expenditures will help our C3 AI Software achieve any additional market acceptance. Furthermore, potential customers may have m",,,,,,918N1-01690,D_top_by_year,2022,0,e157e6da-7b75-4793-8461-f7cab4582f2f,0001628280-22-031554,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-Q,2022-12-08,2022,risk_factors,13,512,3338,True,0.61353,0.54284,0.61472,0.31744,0.36492,6.59422,18,18,,"expect or businesses fail to adopt our C3 AI Software, our business, operating results, and financial condition could be adversely affected. 53 Table of Contents If we fail to respond to rapid technological changes, extend our C3 AI Software, or develop new features and functionality, our ability to remain competitive could be impaired. The market for our C3 AI Software is characterized by rapid technological change and frequent new platform and application introductions and enhancements, changing customer demands, and evolving industry standards. The introduction of platforms and applications embodying new technologies can quickly make existing platforms and applications obsolete and unmarketable. Data management, machine learning, and analytics platforms and applications are inherently complex, and it can take a long time and require significant research and development expenditures to develop and test new or enhanced platforms and applications. The success of any enhancements or improvements to our existing C3 AI Software or any new applications depends on several factors, including timely completion, competitive pricing, adequate quality testing, integration with existing technologies, and overall market acceptance. Our ability to grow our customer base and generate revenue from customers will depend heavily on our ability to enhance and improve our C3 AI Software, to develop additional functionality and use cases, introduce new features and applications and interoperate across an increasing range of devices, operating systems, and third-party applications. Our customers may require features and capabilities that our current C3 AI Software does not have or may face use cases that our current C3 AI Software does not address. We invest significantly in research and development, and our goal is to focus our spending on measures that improve quality and ease of adoption and create organic customer demand for our C3 AI Software. When we develop a new enhancement or i",,,,,,919N1-01691,D_top_by_year,2022,0,705fcaca-a4bd-4b06-81e5-4b3fab879ce2,0001628280-22-017829,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-K,2022-06-23,2022,business,12,512,3606,True,0.55721,0.59905,0.46833,0.25289,0.35358,6.56954,13,13,,"into hundreds of petabytes, even exabytes. Each data type needs to be stored in an appropriate database capable of handling these volumes at high frequency. Relational databases, key-value stores, graph databases, distributed file systems, and blobs are all important to organizing and linking data across these divergent technologies. Reference Enterprise AI Software Platform The problems that have to be addressed to enable today’s Enterprise AI and IoT applications are nontrivial. Massively parallel elastic computing and storage capacity are prerequisite. These services are provided today at increasingly low cost by AWS, Microsoft Azure, and others. The elastic cloud is a major breakthrough that has dramatically transformed modern computing. In addition to the cloud, multiple data services are necessary to develop, provision, and operate Enterprise AI and IoT applications. The array of capabilities and services necessary for building and operating Enterprise AI and IoT applications at scale represents a development problem on the order of magnitude of a relatively simple enterprise software application such as CRM. This is not a trivial problem. Consider just a few of these requirements. • Data Integration. This problem has haunted the computing industry for decades. Prerequisite to machine learning and AI at industrial scale is the availability of a unified, federated image of all the data contained in the multitude of (1) enterprise information systems—ERP, CRM, SCADA, HR, MRP—typically thousands of systems in each large enterprise; (2) sensor IoT networks—SIM chips, smart meters, programmable logic arrays, machine telemetry, bioinformatics; and (3) relevant extraprise data—weather, terrain, satellite imagery, social media, biometrics, trade data, pricing, market data, etc. • Data Persistence. The data aggregated and processed includes every type of structured and unstructured data imaginable. Personally identifiable information, census data, images, text, video, ",,,,,,920N1-01692,D_top_by_year,2022,0,68e98994-d84f-4283-b690-9c93f5738e38,0001628280-22-017829,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-K,2022-06-23,2022,business,1,512,3731,True,0.61920,0.51964,0.54485,0.33995,0.34444,6.48580,33,33,,"and manage C3 AI Applications. The C3 AI Application Platform uses a unique model-driven architecture to accelerate delivery and reduce the complexities of developing enterprise AI applications. The C3 AI model-driven architecture provides an “abstraction layer,” that allows developers to build enterprise AI applications by using conceptual models of all the elements an application requires, instead of writing lengthy code. This provides significant benefits, including: Scale AI Across the Business. Customers can use AI applications and models that optimize processes for every product, asset, customer, or transaction across all regions and businesses; 7 Table of Contents Deliver Results Faster. Customers can deploy AI applications and see results in one to two quarters and rapidly roll out additional applications and new capabilities; Generate Meaningful Value. Customers can unlock sustained value, up to hundreds of millions to billions of dollars per year, from reduced costs, increased revenue, and higher margins; and Govern AI with Confidence. Customers can ensure systematic, enterprise-wide governance of AI with our unified platform that offers data lineage and model governance. The C3 AI Application Platform enables us and our customers to develop Enterprise AI applications by using conceptual models of all the elements required by the application—e.g., data objects (customer, order, contract, etc.), computing resources (database, storage, messaging), data processing services (stream processing, batch processing, etc.), AI and machine learning services (model training, model pipeline management, etc.)—instead of having to write complex, lengthy code. This approach vastly reduces technical complexity for developers and the amount of code they need to write. The C3 AI Application Platform provides comprehensive capabilities to rapidly develop, deploy, and operate Enterprise AI applications at scale, including: • Data Integration and Management Services. Services t",,,,,,921N1-01693,D_top_by_year,2022,0,307f2cb1-e085-4dfb-844d-a465fe42ef57,0001645590-22-000071,0001645590,HPE,Hewlett Packard Enterprise,Information Technology,"Technology Hardware, Storage & Peripherals",10-K,2022-12-08,2022,business,16,512,3836,True,0.53284,0.60501,0.51730,0.32274,0.30520,6.44269,3,3,,"supported by our strong intellectual property portfolio and research and development capabilities, coupled with our global reach and partner ecosystem. 10 Table of Conten t HPC & AI predominantly operates in the market for data-intensive super-computing, analytics, and artificial intelligence. Our primary competitors are compute technology vendors that can design and build solutions that deliver performance scalability and connectivity necessary to handle super-compute and AI workloads, including Dell Technologies Inc., Lenovo Group Ltd., IBM, Fujitsu Network Communications, Inc., and Atos Information Technology Incorporated. Similar to the compute space, our strategy is to deliver superior products, high-value technology support services, and differentiated integrated solutions that combine our infrastructure, software, and services capabilities. Our competitive advantages include our deep expertise and capabilities designing and delivering these solutions, broad end-to-end solutions portfolio, supported by our strong intellectual property portfolio and research and development capabilities, coupled with our global reach and partner ecosystem. Intelligent Edge operates in the highly competitive networking and connectivity infrastructure market, which is characterized by rapid and ongoing technological innovation and price competition. Our primary competitors are technology vendors, such as Cisco Systems, Inc., Extreme Networks, Inc., Juniper Networks, Inc., and Arista Networks Inc. Our strategy is to deliver superior enterprise wired and wireless local-area networking components and software, high-value technology support services, and differentiated integrated solutions that combine our infrastructure, software, and services capabilities. Our competitive advantage includes our broad end-to-end solutions portfolio, supported by our strong intellectual property portfolio and research and development capabilities, coupled with our global reach and partner ecosystem. ",,,,,,922N1-01694,D_top_by_year,2022,0,cc655914-0ce7-4712-b980-e00d4cc59d36,0001410578-22-000489,0000903651,INOD,INNODATA,Industrials,Services-Computer Processing & Data Preparation,10-K,2022-03-24,2022,business,0,512,3574,True,0.65363,0.47239,0.56694,0.28680,0.40432,6.41953,24,29,,"Business Overview Innodata Inc. (NASDAQ: INOD) (including its subsidiaries, the “Company”, “Innodata”, “we”, “us” or “our”) is a global data engineering company. Our mission is to deliver the promise of AI to the world’s most prestigious companies. We provide AI-enabled software platforms and managed services to companies that require high-quality data for training AI and machine learning (ML) algorithms. We also provide AI digital transformation solutions and platforms to help companies apply AI/ML to real-world problems relating to analyzing and deriving insights from documents. For industry-specific, document-intensive industry business processes, we provide AI-augmented software-as-a-service (SaaS) platforms and discrete managed services. Our platforms and services are powered by Goldengate, our proprietary AI/ML platform, as well as other technologies we have developed. In addition, we bring to bear more than 4,500 employees spanning eight countries with expertise in data pertaining to many professional fields. Our hybrid approach of using AI/ML in conjunction with human experts enables us to deliver superior data quality with even the most complex and sensitive data. We developed our capabilities and honed our customer- and quality-centric culture progressively over the last 30 years creating high-quality data for many of the world’s most demanding information companies. Approximately six years ago, we formed Innodata Labs, a research and development center, to research, develop and apply machine learning and emerging AI to our large-scale, human-intensive data operations. In 2019, we began packaging the capabilities that emerged from our R&D efforts in order to align with several fast-growing new markets and help companies use AI/ML to drive performance benefits and business insights. We anticipate this strategy will enable us to accelerate growth. Market Opportunities AI Data Annotation Companies across industry verticals are increasingly seeking to develop ",,,,,,923N1-01695,D_top_by_year,2022,0,e9e9380d-f88f-4f10-ad65-b4d04ff19a88,0001734722-22-000061,0001734722,PATH,UIPATH INC CLASS A,Information Technology,Services-Prepackaged Software,10-Q,2022-12-05,2022,md_and_a,8,512,3505,True,0.59965,0.52383,0.49270,0.31628,0.40128,6.38036,5,9,,"Inc., SAP SE, ServiceNow, Inc., Snowflake, Inc., and Workday, Inc. These pre-built integrations can accelerate the adoption of our platform within our customers’ environments and speed the creation of automations that span multiple technologies. We also maintain partnerships with leading cloud vendors, such as Amazon Web Services Inc., Google Inc., and Microsoft Corporation, to both simplify the deployment of our platform and extend our platform to offer customers the benefits of cloud-based AI capabilities. 31 Table of Contents In addition, we intend to continue to evaluate strategic acquisitions and investments in businesses and technologies to drive product and market expansion. For example, in March 2021, we acquired Cloud Elements, a provider of a leading API integration platform for SaaS application providers and the digital enterprise. This acquisition brought technology and an experienced team, which we believe will accelerate our technology roadmap in areas such as native integrations and system event automation triggers. On July 29, 2022, we acquired all of the outstanding capital stock of Re:infer LTD. (“Re:infer”), a natural language processing company focused on unstructured documents and communications. Re:infer uses machine learning technology to mine context from communication messages and transform them into actionable data. With this acquisition, UiPath gains technology and an experienced team which we believe will further accelerate our technology roadmap, expand the breadth of our current AI-powered automation capabilities, and unlock new automation opportunities for our customers. Our future success is dependent on our ability to successfully develop, market, and sell existing and new products to both new and existing customers and maintain and expand our relationships with leading technology partners. Continuing to Invest to Grow and Scale Our Business We are focused on driving our growth potential over the long term. We believe that our market",,,,,,924N1-01696,D_top_by_year,2022,0,c31aee92-ccf0-400d-879c-b918825048bb,0001410578-22-000489,0000903651,INOD,INNODATA,Industrials,Services-Computer Processing & Data Preparation,10-K,2022-03-24,2022,business,4,512,3521,True,0.62852,0.48259,0.52438,0.28093,0.33953,6.31449,12,15,,"a wide range of documents – including images, PDFs, and web copy – and performs a series of cognitive tasks to extract intelligence and create analytical data that people can use for generating inferences and powering analytical applications. It serves up no-code AI with transfer learning built on generative language models we have developed over the past six years of deploying industrial deep neural networks. Goldengate serves as the foundational technology for the AI projects we perform for customers, as well as the AI-under-the-hood that powers our data annotation platform and our industry platforms. One of the main benefits of the platform is that it’s “no-code”, so it doesn’t require a large number of data scientists to build models or require a data science platform to orchestrate models and update models. Using Goldengate in combination with our SMEs, we are able to build high-performing, cutting-edge models that address real-world problems. In 2021 we further AI-enabled Synodex, Agility and our data annotation platform using Goldengate; in 2022, we intend to commercialize it further as both a customer-facing technology and as the engine under other potential industry solutions. Goldengate functionality can be consumed as domain-specific and task-specific microservices each of which performs a discrete data-related task automatically. Each AI microservice may be invoked by the dataflow via a RESTful API. Many complex data problems can be solved with a combination of these microservices. Capabilities include deep sequence labelling, categorization, segmentation and sequence-to-sequence mapping. For each cognitive task an AI microservice performs, it provides a confidence score. A confidence score at or above an established accuracy threshold means no human expert review is required. A confidence score below an established accuracy threshold means human expert review is required. When expert review is required, the dataflow automatically routes data to an appro",,,,,,925N1-01697,D_top_by_year,2022,0,7ceb7ab0-69a2-44c7-9eaf-d08a3a927e25,0001558370-22-001584,0000051143,IBM,IBM,Information Technology,IT Consulting & Other Services,10-K,2022-02-22,2022,business,0,512,3488,True,0.59693,0.51230,0.53394,0.29836,0.44845,6.28917,7,8,,"International Business Machines Corporation (IBM or the company) was incorporated in the State of New York on June 16, 1911, as the Computing-Tabulating-Recording Co. (C-T-R), a consolidation of the Computing Scale Co. of America, the Tabulating Machine Co. and The International Time Recording Co. of New York. Since that time, IBM has focused on the intersection of business insight and technological innovation, and its operations and aims have been international in nature. This was signaled almost 100 years ago, in 1924, when C-T-R changed its name to International Business Machines Corporation. And it continues today—we create sustained value for clients by helping them leverage the power of hybrid cloud and artificial intelligence (AI). Our hybrid cloud platform and AI technology support clients’ digital transformations and helps them reimagine critical workflows, at scale, and modernize applications to increase agility, drive innovation and create operational efficiencies. Our offerings draw from leading IBM capabilities in software, consulting services capability to deliver business outcomes, and deep incumbency in mission-critical infrastructure, all bolstered by one of the world’s leading research organizations. The following information is included in IBM’s 2021 Annual Report to Stockholders and is incorporated by reference: IBM Strategy—pages 11 to 13. Business Segments and Capabilities—pages 13 to 15. Human Capital—pages 15 to 16. Competition IBM is a globally integrated enterprise that participates in a highly competitive environment, where our competitors vary by industry segment, and range from large multinational enterprises to smaller, more narrowly focused entities. Overall, across our business segments, we recognize hundreds of competitors worldwide. Our principal methods of competition are: technology innovation; performance; price; quality; brand; our broad range of capabilities, products and services; talent; client relationships and trust; the ab",,,,,,926N1-01698,D_top_by_year,2022,0,91376ac0-b33e-442e-af62-736e157527eb,0001628280-22-031554,0001577526,AI,C3 AI CLASS A,Information Technology,Services-Prepackaged Software,10-Q,2022-12-08,2022,risk_factors,3,512,3276,True,0.57981,0.53001,0.62295,0.33509,0.39034,6.28560,18,18,,"Table of Contents Because we derive substantially all of our revenue from our C3 AI Software, failure of Enterprise AI solutions in general and our C3 AI Software in particular to satisfy customer demands or to achieve increased market acceptance would adversely affect our business, results of operations, financial condition, and growth prospects. We derive and expect to continue for the foreseeable future to derive substantially all of our revenue from our C3 AI Software. As such, the market acceptance of Enterprise AI solutions in general, and our C3 AI Software in particular, are critical to our continued success. Market acceptance of an Enterprise AI solution depends in part on market awareness of the benefits that Enterprise AI can provide over legacy products, emerging point products, and manual processes. In addition, in order for cloud-based Enterprise AI solutions to be widely accepted, organizations must overcome any concerns with placing sensitive information on a cloud-based platform. Demand for our C3 AI Software in particular is affected by a number of other factors, some of which are beyond our control. These factors include continued market acceptance of our C3 AI Software, the pace at which existing customers realize benefits from the use of our C3 AI Software and decide to expand deployment of our C3 AI Software across their business, the timing of development and release of new products by our competitors, technological change, reliability and security, the pace at which enterprises undergo digital transformation, and developments in data privacy regulations. We expect that the needs of our customers will continue to rapidly change and increase in complexity. We will need to improve the functionality and performance of our C3 AI Software continually to meet those rapidly changing, complex demands. If we are unable to continue to meet customer demands or to achieve more widespread market acceptance of Enterprise AI solutions in general or our C3 AI",,,,,,927N1-01699,D_top_by_year,2022,0,2f258999-cc01-451d-aabf-5707583c4028,0001645590-22-000071,0001645590,HPE,Hewlett Packard Enterprise,Information Technology,"Technology Hardware, Storage & Peripherals",10-K,2022-12-08,2022,business,13,512,3747,True,0.49535,0.60545,0.38696,0.23035,0.25730,6.19243,10,11,,"we will continue to have significant R&D expenditures in the future to support the design and development of innovative, high-quality products, services, and solutions to maintain and enhance our competitive position. Included in the R&D work currently taking place at the Company are the following initiatives: In Compute, we are developing high quality next-generation compute solutions (servers, server attached options, and software) that integrate the latest industry technology, which coupled with other innovations from HPE are aligned to the requirements of our customers. In the area of software-as-a-service, we are developing cloud-native, cloud-based server management solutions to complement our existing portfolio. In HPC & AI, we offer integrated systems comprised of software and hardware designed to address high-performance computing, AI, data analytics, and transaction processing workloads for government and commercial customers globally. Our R&D investments are focused on developing new technologies in high-performance networking, artificial intelligence platforms, scalable memory systems, and high-performance storage and data solutions that underpin our differentiated offerings. We also develop high-performance computing and artificial intelligence developer tools, cloud-native and scalable cluster management software, and transaction processing software. These R&D efforts are critical to our competitive advantage and enabled our successful delivery of the first exascale supercomputer in the world. HPC & AI also hosts an applied research group, Hewlett Packard Labs, where we invest in long-term technological advancements, including artificial intelligence software, advanced systems architectures, and photonics. We also collaborate with government and commercial research institutions and co-invest in many of these areas. The work of Hewlett Packard Labs contributes to a pipeline of technologies we consider for future commercialization, including quantum comp",,,,,,928N1-01700,D_top_by_year,2022,0,6ecef1c8-41f3-4622-a218-aed1759bc3aa,0001032220-22-000074,0001032220,MMS,MAXIMUS,Industrials,"Services-Business Services, NEC",10-K,2022-11-22,2022,business,4,512,3793,True,0.52795,0.56967,0.37908,0.34984,0.35909,6.18625,3,5,,"services, including cyber engineering and operations, digital forensics, and incident response. • Infrastructure and Engineering: Deploy solutions that leverage cloud-hosted and on-premise designs to optimize costs. TCS has also built digital qualifications in the market. The division utilizes artificial intelligence and machine learning to build bespoke data models, providing predictive analytics to maximize process efficiency, as well as identify systemic process issues that can be isolated and prioritized for troubleshooting. End-to-end automation of software development and business processes achieves speed, efficiency, and error reduction as well as advanced tool capabilities resulting in greater operational efficiency, enhanced customer experiences, and increased ROI. Finally, high performance computing clusters support mission requirements for data mining, scientific modeling, advanced analytics, research, and machine learning. The segment contains performance-based contracts where revenue is earned based upon participant numbers or other transaction-based measures, such as the number and type of assessments or appeals processed. Many contracts in this segment earn their revenue on a cost-plus or time-and-materials basis, which typically carry lower levels of risk and lower levels of profit margin as compared to performance-based contracts. The segment may experience fluctuations as a result of volume variations or program maturity, with contracts recording lower revenue and profitability during program startup. Our primary competitors in the U.S. Federal Services Segment are Serco, General Dynamics Information Technology, Amentum, Cognosante, and Conduent. Within the technology sector, our primary competitors are IBM, Oracle, Leidos, Accenture, Deloitte, Booz Allen Hamilton, and other federal contractors. 7 Table of Contents U.S. Services Segment Our U.S. Services Segment generated 35% of our total revenue in fiscal year 2022. Our U.S. Services Segment provi",,,,,,929