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TERADATA CORP /DE/ (TDC) Business

Verbatim Item 1 Business section from TERADATA CORP /DE/'s latest 10-K. Filing date: 2026-02-27. Accession: 0001628280-26-012671.

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Item 1. BUSINESS

Overview. At Teradata Corporation ("we," "us," "Teradata," or the "Company"), we are focused on helping organizations activate the intelligence in their enterprise and turn the insights from across their organization into outcomes. In the agentic future, AI agents have enterprise context, can act on it in milliseconds and address continuous decisions at enterprise scale. This new landscape demands a new system of intelligence, and we believe Teradata is uniquely suited to provide this with our autonomous AI and knowledge platform as well as our data and analytics capabilities.

We believe that we have architected our platform for autonomous AI operations and organizations’ toughest data and analytics challenges, particularly as enterprises are evaluating how to cost effectively deploy agentic AI. We also saw a resurgence of hybrid environments that reflected a growing understanding of how enterprises can best leverage both on-premises and cloud deployment options to meet their diverse business needs. Our platform is designed for data and analytics that can give customers the opportunity to run agentic AI at scale wherever that data resides in their business – whether public cloud, on-premises, private cloud, or a combination.

With our AI and knowledge platform, underpinned by our extensive patented workload management optimization technology, we believe we are well positioned to help enterprises become autonomous enterprises, with a governance layer that is intended to provide the ability for customers to focus on managing, securing, and providing trustworthy data for AI and analytics across hybrid and multi-cloud environments.

Our AI and Knowledge Platform

We believe our technology strengths are the foundation for agentic AI at scale. Our platform is designed for enterprise-grade workloads. It is built on a massively parallel architecture, with patented workload management, query optimization, and predictable costs that are designed to deliver the most complex workloads. The industry data models available on our platform are built on decades of experience working with global organizations that are large-scale users of data, and can enable our customers to bring deep context to the language models they choose to use. Our platform includes a semantic layer intended to bridge AI and data, giving AI agents the context they need to reason and act. We believe that our platform provides the best price performance, whether deployed on-premises or in the cloud, or a hybrid combination. Our MCP Server, AI Agents, and always-on compute are designed to deliver the reliability and agility needed for autonomous reasoning, planning, and action. Our Autonomous Customer Intelligence empowers organizations to turn raw data and customer signals into context-aware, real-time engagement.

We believe that our deployment and compute flexibility set Teradata apart. Our differentiated approach spans deployments in the top public cloud service provider platforms of AWS, Microsoft Azure, and Google Cloud, as well as private cloud platform instances, on-premises, and hybrid environments. We also provide Teradata AI Factory, designed to bring AI and machine learning capabilities to on-premises environments for organizations in regulated industries, with data sovereignty requirements, or that want to manage and contain their AI infrastructure costs. It integrates with Nvidia NIM Services and GPUs, and Teradata AI Workbench and ClearScape Analytics™ , which support BYOM/BYO-LLM (bring your own model / large-language model), in-engine analytics, and model endpoints. We also offer always-on and elastic compute flexibility, designed to ensure governance, security, and performance at scale.

Open, connected, and future-ready. Teradata’s partner ecosystem collaborates across cloud, AI, infrastructure, and application partners, providing choice and interoperability for organizations to innovate and deliver outcomes. Our patented QueryGrid data analytics fabric provides seamless, high-performing data access, processing, and movement across multiple data sources, as well as data and workload migration tools and services. Teradata ClearScape Analytics is designed to integrate seamlessly with third-party LLMs and AI agents, leveraging Teradata’s Enterprise Vector Store and Enterprise Feature Store, to orchestrate multi-agent systems. We also provide Teradata AgentBuilder, which is designed to allow customers to rapidly design, deploy, and manage autonomous agents. We also believe that we offer a competitive and compelling total cost of ownership by building out best-in-class capabilities that are designed to provide an easy experience for ingestion, exploration, development, consumption, and operationalization of data analytics and AI/ML.

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Expertise, innovation, and industry leadership. Teradata brings more than four decades of domain expertise and proven industry knowledge models to support our customers. With our AI Services, enterprises can rapidly productionize AI workloads—reducing time to market, accelerating deployment cycles, and unlocking business value faster. This integrated services offering combines embedded experts with proven methodology and our AI and knowledge platform to guide organizations in developing and scaling AI agents across their business.

Our Teradata AI services consultants and our forward-deployed engineers work with customers to assist in their transition from concept to production in their AI deployments.

Our Business Transformation

Across Teradata, we are executing and advancing in our transformation as a modern, leading AI and knowledge platform. Our transition has earned recognition from numerous industry analyst firms, and we delivered more than 150 AI engagements at customer accounts in 2025. Companies have data both in the cloud and on-premises in their data estates, with increasing leverage of hybrid architectures. It is no longer about choosing between environments—it’s about effectively operating across both in order to meet diverse business needs and drive faster decision-making, at the scale they require. We believe we address these customer needs with our hybrid capabilities and our open and connected platform approach.

2025 was a year of significant innovation at Teradata in support of our transformation into a leading AI and knowledge platform. We announced a considerable set of technology innovations throughout 2025. These announcements included:

•Enterprise Vector Store that combines structured and unstructured data in order to improve AI use cases,

•Teradata AI Factory supporting on-premises AI,

•ModelOps updates were added to ClearScape Analytics,

•MCP Server that connects AI systems with interactive access to the enterprise data, context, and predictive, AI capabilities necessary to provide meaningful outcomes,

•Teradata AgentBuilder with capabilities designed to deploy AI agents, and

•Autonomous Customer Intelligence, designed to enhance our customer experience offerings.

We also continued our commitment to developing and building strong partnerships in 2025. In this regard, we added partnerships that are designed to augment our platform capabilities, including with ServiceNow, Salesforce, and Fivetran. Adding these partners to our already extensive ecosystem supports our commitment to a fully open and connected approach that allows enterprises to employ modern data strategies to enable and execute autonomous AI at scale.

Market Dynamics

Our target market focuses on organizations that are large-scale users of data. As generative and agentic AI adoption accelerates, we expect that there will be exponential growth in data volumes, queries, and mixed workloads requiring high concurrency and a need to manage both structured and unstructured datasets. We believe Teradata is uniquely positioned to handle this growth by helping our customers build the data foundation and deliver enterprise context to AI solutions. Whether enterprises leverage hybrid, multi-cloud, and/or on-premises data analytics and AI/ML technologies, we believe it is essential for them to be able to integrate ecosystems across multi-cloud and on-premises environments, simplify access to data wherever it resides, and accommodate analytics at massive scale and speed to derive significant business value. Teradata addresses the full spectrum of data analytics and AI needs and varying cloud adoption strategies—from cloud-only to multi-cloud to hybrid and on-premises.

Our Consulting Services and Third-Party Relationships

Our customers use Teradata technologies and innovations to solve their business challenges and drive business outcomes. We provide guidance to customers on uses tailored to their needs and offer differentiated use case solutions that can accelerate growth.

Our experienced consultants offer a broad range of services, including helping organizations establish a data analytics and AI vision, enabling a modern, hybrid ecosystem architecture, identifying and operationalizing opportunities, and realizing value in production. Our AI services are described previously. Our support and maintenance services are designed to provide an optimal experience with Teradata, and our managed services offerings are designed to provide an enhanced experience for our customers by helping their analytic environments

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operate efficiently. We also work closely with top global and regional systems integrators to accelerate innovation, enable digital transformation and maximize customer value from their Teradata technologies.

Our Subscription Options

Teradata offers subscription offerings that are flexibly priced, ranging from capacity-based to consumption-based pricing. These flexible pricing options are designed to enable our customers to reduce complexity, risk, and cost and expand their data analytics and AI/ML capabilities to fit their data and budget needs.

Our Segments

For the calendar year ended December 31, 2025, we had total revenues of $1.663 billion. We manage our business under two operating segments: (1) Product Sales and (2) Consulting Services. For financial information about our segments and geographic information, see "Note 14-Segment, Other Supplemental Information and Concentrations" in the Notes to Consolidated Financial Statements in this Annual Report.

History. Teradata was incorporated in 1979 as a Delaware corporation. Teradata became a publicly traded company named Teradata Corporation (NYSE: TDC) on September 30, 2007.

Industry and Market Opportunity. As companies face mounting data demands, along with the need to extract value from data, we believe that our opportunity to grow in the multi-billion dollar data management and analytics market will continue. Industry analysts forecast that this market will grow at a double-digit rate year-over-year for the next few years, and it is expected that the market opportunity will continue to expand with the anticipated rapid and global adoption and enablement of agentic and generative AI. There is increased complexity, cost, and risk to companies associated with managing data analytics and AI/ML environments, as well as the rapidly emerging desire of customers to create and deliver value from agentic and generative AI. This is particularly true for our target market of global enterprise companies, and we believe that these companies require well-integrated solutions that can accommodate significant agility, scale, and speed in an open and connected ecosystem. We focus on supporting our customers with the platform they require, whether cloud-only, multi-cloud, on-premises, or a hybrid combination. We are helping new and existing customers connect their hybrid environments, migrate to the cloud if desired, expand workloads across all deployment options, and capture the possibilities provided by enabling AI. We are also focused on growing the adoption of our hybrid platform, enabling AI in the deployment the customer chooses—whether cloud or on-premises— by bringing additional data and AI/ML capabilities offerings, increasing software utilization, expanding partnerships with leading companies, and demonstrating our extensive AI capabilities.

Our Strategy. Our strategy is built on three pillars: Foundational Excellence, real-world uses of AI, and the best AI for hybrid environments. We deliver on this strategy through leveraging our talented teams that are committed to our culture and strategic execution.

•Foundational Excellence: We believe that starting with a strong foundation is critical to our success, including the knowledge platform, price performance, user experience, elasticity, business continuity, and providing a hybrid ecosystem across cloud and on-premises. Teradata delivers high performance, scalability and cost efficiency—whether on-premises or in the cloud.

•Real-world Uses of AI: As agentic AI use has moved onto the global stage, AI endeavors have been more experimentation than production, as expected with any novel technology. However, the drawback is that those projects failed to deliver real value. At Teradata, we are taking a different approach: we start with real-world uses and build platforms that help our customers deliver business outcomes, at scale. We believe that when we can help enterprises lead with AI-driven industry use cases and focus on key AI workloads at scale, they can go beyond experiments and begin to see real return on investment.

•Best AI for Hybrid Environments: Most large enterprises are multi-faceted and already operate in hybrid environments. We believe that Teradata is the best platform for a hybrid environment. Our differentiated capabilities enable our users to work seamlessly across cloud and on-premises with data, compute, models, workbenches, experiences and outcomes.

As we strive to help organizations achieve AI autonomy, we believe enterprise knowledge and data are key to powering business outcomes. Helping enterprises transform to succeed in an agentic and autonomous AI future

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depends not only on enterprise data and AI agents, but also on establishing a knowledge base. For more than forty years, Teradata has been helping organizations with their enterprise data. We believe this expertise is at the core of Teradata through our platform and its highly performant database engine that delivers complex queries, joins, and analytics at scale. AI agents play the role of the natural language interfaces that AI autonomy depends on, as well as enable the capability for future autonomous actions, decisions, and, most importantly, outcomes at scale. We engineer a knowledge base that provides the context through a semantic layer between enterprise data and the AI agents. The knowledge base gives AI agents the critical context needed to reason and act.

Customers. Teradata concentrates our marketing and go-to-market efforts on enterprises that are seeking to improve business performance and view data analytics and AI/ML as strategic to achieving that objective. We focus on the key buying centers of technology buyers and users, business leaders, as well as analytics buyers and users. We believe Teradata is differentiated in industries with high-data requirements, including Financial Services, Healthcare and Life Sciences, Public Sector, Manufacturing, Retail, Telecommunications, and Travel/Transportation. We believe that these industries provide a good fit for our solutions and services, as these industries typically have the greatest analytic potential with large and growing data volumes, complex data management requirements, large and varied types of users, and operations and customer bases that span global geographies. Additionally, we are seeing increasing exploration of AI uses across these industries. We currently do not have any customer that represents 10% or more of our total revenue.

Seasonality. Historically, our new contract bookings and renewals are seasonal, in line with customer spending patterns, with lower volume typically in the first quarter and higher volume generally in the fourth quarter of each calendar year. Such seasonality causes our working capital cash flow requirements to vary from quarter to quarter depending on the variability in the volume, timing of invoices and subsequent collection, and mix of platform and services sales. In addition, contract bookings in the third month of each quarter have historically been significantly higher than in the first and second months, with the majority occurring in the last quarter of our fiscal year. In addition, the size and complexity of our sales transactions have resulted in, and we expect will continue to result in, lengthy sales cycles with multiple levels of customer approvals which can also lead to less predictability of the timing of quarterly transactions. These factors, among others as more fully described in Item 1A, Risk Factors, in this Annual Report, make forecasting more difficult and may adversely affect our ability to accurately predict financial results.

The majority of our customers pay for their Teradata offerings via subscription-based purchasing options, available for both cloud and on-premises deployments. The majority of our revenue from sales is recurring, which generally increases the predictability of our revenue and the durability of our future cash flows. The majority of our customer contracts are based on a blended pricing model which provides a fixed capacity and also offers the customer optional consumption for times when they experience increased activity.

Sales, Marketing, Customer Services and Partners

Sales and Marketing. We primarily sell and market our solutions and services through a direct sales force. We have more than 80% of our employees in customer-facing and/or revenue-driving roles (including sales, marketing, consulting, customer services, and product engineering).

We support our sales efforts with marketing designed to:

•grow awareness of Teradata as a leading AI and knowledge platform, highlighting our technology innovation, differentiation and leadership—all designed to help customers get rapid value from data and AI uses, as well as our analytics and AI services expertise, and

•create demand for, and adoption and expanded use of, our technologies and related services.

We additionally provide extensive training to educate and enable our sales force with the skills and knowledge to compete and win with our value proposition.

Our brand messaging is intended to highlight Teradata’s role as a leading AI and knowledge platform. To support our growth objectives, we employ a broad range of modern marketing strategies, including programs designed to inform, educate, and generate demand with customers and prospects. These strategies include our global website, digital marketing, paid media, demos and trials of our software, in person and online events, public relations, social media, influencer and partnership marketing, customer advocacy and developer advocacy programs, and targeted demand generation.

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Customer Services. Our global customer services organization is dedicated to driving optimal customer experiences and maximizing customer value on Teradata technology. We believe in working with our customers to help them achieve the best outcomes from the data that is managed in our platform, so they are empowered with the full potential of Teradata’s solutions. Our global customer services organization is comprised of cloud operations, customer support, customer experience, consulting and managed services, and customer education. This organization focuses on delivering business value throughout the customer journey, enabling innovative use of our platform, extracting additional efficiencies, and maximizing customer impact and satisfaction—which are designed to retain customers and drive greater consumption of our technology. In 2025, we announced AI Services as described previously.

Strategic Partnerships. We seek to extend our sales and marketing reach by partnering with cloud service providers, alliance partners (including independent software vendors, technology partners, open-source software distributors, and resellers), leading global and regional systems integrators, and consultants, that we believe complement our differentiated offerings. Strategic partnerships are a key element in our ability to leverage the value and expand the scope of our platform in the marketplace.

•Cloud Service Providers: We have established partnerships with the top three global public cloud service providers: AWS, Microsoft Azure, and Google Cloud. We work to continuously strengthen these strategic partnerships so that organizations around the world can easily have access to the Teradata platform via the service provider they prefer.

•Alliance Partners: We focus on working collaboratively with partners in several areas, including AI/ML and LLMs, tools, data and application integration solutions, data mining, analytics, business intelligence, and specific analytic and industry solutions. Our goal is to provide choices through our open and connected approach and support customers’ choice with partner offerings that are optimized and certified to work with our platform to deliver end-to-end analytic and data solutions and to provide comprehensive capabilities that support the customer’s business goals. In 2025, we added new partnerships with ServiceNow and Salesforce. We also consistently review and add to our technology partners with the goal of ensuring best-in-class technology to help our customers achieve the enterprise-grade performance and scale they need. These partnerships include NVIDIA, NetApp, and Dell.

•Systems Integrators and Consultants: We work with a range of systems integrators and consultants who engage in the design, implementation, and integration of analytic solutions for our joint customers. Our strategic partnerships with global and regional consulting and systems integration firms provide broad industry and technology expertise in the design of business solutions that leverage Teradata technologies.

Competition. We compete in a large and growing market that is attractive to both current and new competitors. There is a large number of vendors in the market, and the landscape is rapidly growing with the increasing adoption of AI. Participants include AWS, Databricks, Google Cloud, Microsoft Azure, Snowflake, and more; the competitive market also comprises traditional legacy competitors. We believe our focus on AI, hybrid and multi-cloud ecosystem simplification, providing solutions for the most scalable and complex workloads, and services designed to achieve desired business outcomes of our customers, enable us to successfully compete. We believe that our technology innovations are highly differentiated, deliver scale and integration, and are positioned to provide business value to our customers. Furthermore, we provide our customers with the opportunity to de-risk their buying decisions with our hybrid capabilities, so they can deploy across the top public clouds, private cloud and on-premises, coupled with flexibility in purchasing and portable licensing. For more information on competition, see Item 1A. Risk Factors, in this Annual Report.

We believe that the principal competitive factors for our products and services include: data analytics and AI/ML experience; business outcome delivery; hybrid multi-cloud offerings and experience; total cost of ownership; customer references; technology leadership; product quality; performance, scalability, availability, integrity, security, and manageability; partner relationships; experienced engineering talent, support and consulting services capabilities; management of technologies in a complex analytical ecosystem; delivery of a platform and tools that are designed to enable AI/ML for our customers; and industry knowledge and expertise.

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Research and Development ("R&D"). We remain focused on designing and developing our platform that anticipates our customers' evolving needs and supports solving their complex business challenges. Our teams are extending Teradata technologies and innovations for the Teradata platform, in order to have consistent and differentiated capabilities that meet the performance and scale requirements of enterprise data, analytics and AI uses, moving towards fully autonomous enterprises.

With a focus on creating an open and connected platform, we continue to build a deep integration with cloud data and analytic ecosystems, including advanced analytics and AI/ML tools. Furthermore, with our strong partnerships, our R&D team is extending our platform to enable deeper integration with a broader range of solution and service providers.

Our extensive and talented R&D workforce is one of our core strengths. Our R&D team is globally dispersed to take advantage of global engineering talent. On an ongoing basis, this team adds expertise to align with emerging market dynamics, for example, adding AI expertise to accelerate our momentum. We anticipate that we will continue to have significant R&D expenditures, which may include complementary strategic acquisitions, to help support the flow of innovative technologies that position Teradata to lead in autonomous AI and knowledge.

Government Regulation and Compliance. We are subject to diverse and complex global laws and regulations, including those relating to technology, including AI/ML, data privacy, environmental protection, and ESG reporting. Compliance with such laws and regulations has not historically had a material effect on our capital expenditures, earnings, or competitive position. For more information on regulations and compliance, see Item 1A. Risk Factors, in this Annual Report.

Intellectual Property and Technology. We own 534 patents in the United States. We are also the exclusive licensee of four additional patents in the United States and counterpart patents in foreign countries. Many of the patents that we own are licensed to others, and we are licensed to use certain patents owned by others. While our portfolio of patents and patent applications in the aggregate is of significant value to our Company, we do not believe that any individual patent is by itself of material importance to our business.

In addition, we own copyrights and trade secrets in our code base that comprises all of the Teradata software offerings, including analytic data platforms and analytic applications and capabilities. Teradata’s software offerings reflect the investment of hundreds of person-years of development work.

The source code versions of our offerings are protected as trade secrets and, in all major markets, as unpublished copyright works. We take great efforts to protect our rights in all software offerings and related intellectual property; however, there can be no assurance that these measures will be successful. The Company owns the Teradata® word and logo trademarks, which are registered in the United States and in many foreign countries, as well as other trade names, service marks, and trademarks.

Sources of Materials. Our hardware components are assembled and configured by Flex Ltd. ("Flex"). Our platform line is designed to leverage the components from manufacturers that we believe are industry leaders. Our data storage devices and memory components utilize industry-standard technologies but are selected and configured to work optimally with our software and hardware platform. Flex also procures a wide variety of components used in the assembly process on our behalf. Although many of these components are available from multiple sources, Teradata utilizes preferred supplier relationships to better ensure more consistent quality, cost and delivery. Typically, these preferred suppliers maintain alternative processes and/or facilities to ensure business continuity of supply. Given our strategy to outsource product assembly activities to Flex and to source certain components from single suppliers, a disruption in production at Flex or at a supplier, a global shortage of components, commodity, transportation, and/or inflationary pressures could impact the timing or profitability of customer shipments. In addition, a significant change in the forecasts to any of these preferred suppliers could result in purchase obligations for components that may be in excess of demand. Although we have not experienced issues from inflationary challenges or otherwise, the current inflation environment could present potential supply chain uncertainty. For more information, see Item 1A, Risk Factors in this Annual Report.

Human Capital

Teradata operates with a fully flexible work environment, empowering employees to make decisions about where and how they can be most productive. Our global workforce is located in approximately 38 countries, and our corporate headquarters are in San Diego, California.

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Teradata’s people objectives are to attract, retain, develop, and nurture the most innovative, curious, and skilled talent available. Along with our fully flexible work environment, we offer competitive pay and comprehensive health and wellness benefits and programs designed to help our people thrive.

As of December 31, 2025, we had approximately 5,100 employees globally, with approximately 30% employed in the United States and 70% across the rest of the world. Our global workforce is critical to our overall business strategy across target markets. During fiscal 2025, our overall headcount decreased as we continue to align and optimize our talent needs to support our profitable growth strategies.

Culture and Engagement. At Teradata, we are more than just a leading technology company. We are a global team, fueled by a collaborative culture and shared purpose. Our commitment to continuous growth is built on a foundation of transparency, trust, and support as we face challenges together. Our people are the driving force behind everything we achieve – and when we work together, anything is possible. We empower our people to live our core principles: customer and market driven, agility in execution, and accountability to each other. We strive to create a workplace that is free from discrimination where everyone feels they belong. Together, we thrive – because when our people thrive, so does Teradata.

Health, Safety, and Wellness. We are committed to the health, safety, and wellness of our employees and their families. We provide flexible and inclusive programs that cater to diverse needs of well-being, which includes quarterly well-being days, and global paid holidays for all employees.

Compensation and Benefits. Our compensation and benefits reflect our commitment to fairness and inclusion. We have robust compensation and benefit programs designed to attract and retain talent and meet the varied and evolving needs of a global workforce. In addition to our competitive base pay, these programs, which vary by country/region, include sales incentives, annual bonuses, stock awards, an Employee Stock Purchase Plan, a Retirement Savings Plans, healthcare and insurance benefits, and paid time off. One specific example of our inclusive benefits includes parental leave, offering birthing and non-birthing parents up to 14 weeks of paid leave for bonding with a new child arriving through birth, adoption, placement, or foster care.

Talent Development. Teradata is committed to supporting the professional development of our employees by providing resources and pathways for growth. Over the last several years, we have evolved our talent practices to facilitate frequent conversations between managers and employees on performance and development. We have launched on-demand learning resources, such as LinkedIn Learning, which give employees flexibility in when and how they learn. We also provide facilitated learning opportunities to help build specific capabilities and skills, such as Basics of Communication, Emotional Intelligence, Influence, and Time Management. We offer executive and leadership development programs designed to enable our leaders to role model our leadership principles and empower individuals to lead at every level.

Community Engagement. We believe building connections between our employees, their families, and our communities creates a more meaningful, fulfilling, and enjoyable workplace. We support local STEM education programs to ensure emerging leaders in our communities have opportunities to explore their interests. Our Teradata Cares program empowers our employees to make a positive difference where we live and work through volunteerism and giving. We support our employees’ giving and volunteer efforts by providing matching donations for employee contributions to qualified not-for-profit agencies, project grants, and supporting communities where we have employee populations. To further enable employees to support the charity of their choice, we provide every employee four days a year, during normal working hours, for volunteer efforts of their choice.

Properties and Facilities. Our corporate headquarters is located in San Diego, California. As of December 31, 2025, we operated 40 facilities in 29 countries throughout the world. We own our San Diego complex, while all other facilities are leased.

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Information About Our Executive Officers. The following table and biographies sets forth information as of February 27, 2026 regarding the individuals who are serving as our executive officers.

NameAgePosition(s)
Stephen McMillan55President and Chief Executive Officer
John Ederer57Chief Financial Officer
Sumeet Arora51Chief Product Officer
Michael Hutchinson60Chief Operating Officer
Richard Petley49Chief Revenue Officer
Scot Rogers58Chief Administrative Officer

Stephen McMillan. Stephen McMillan is the Company’s President and Chief Executive Officer and has served in this role since joining the Company in June 2020. Mr. McMillan has served on the Company’s Board of Directors since June 2020. Previously, he served as the Executive Vice President of Global Services for F5 Networks, Inc., a transnational company that specializes in application services and application delivery networking, from October 2017 when he joined F5 until May 2020. Prior to joining F5, Mr. McMillan was at Oracle Corporation, a global software and services company ("Oracle"), for five years where he held roles of increasing executive responsibility, including oversight for customer success and managed cloud services. Mr. McMillan also serves on the Board of Directors of Lumen Technologies, Inc.

John Ederer. John Ederer is the Company's Chief Financial Officer and has served in this role since joining Teradata in May 2025. Previously, Mr. Ederer served as the Chief Financial Officer for Model N, Inc., a cloud revenue management solutions provider, from January 2021 to May 2025. Prior to that, from August 2018 until November 2020, he served as Chief Financial Officer for K2 Software Inc., a provider of cloud-based and on-premises digital process automation solutions.

Sumeet Arora. Sumeet Arora is the Company’s Chief Product Officer and has served in this role since joining Teradata in April 2025. Prior to joining Teradata, Mr. Arora served as Chief Development Officer at ThoughtSpot, Inc., a technology company that produces business intelligence analytics search software, from 2019 until April 2025. From 2017 until 2019, he was Senior Vice President and General Manager of Service Provider Networking at Cisco Systems, Inc.

Michael Hutchinson. Michael Hutchinson is the Company's Chief Operating Officer and has served in this role since February 2025. Previously, from January 2022 until February 2025, he served as Chief Customer Officer. From June 2021, when he joined the Company until January 2022, he served as Senior Vice President World-Wide Customer Success, Consulting and Renewals. Prior to joining Teradata, Mr. Hutchinson served as the Senior Vice President and Chief Customer Officer at Verint Systems Inc., a customer engagement solutions provider, from August 2020 to May 2021 and as its Senior Vice President, Global Professional Services and Support from April 2018 until August 2020. From 1990-2018, he held several positions with Oracle, most recently as the Group Vice President, North America Customer Success from December 2015 to March 2018.

Richard Petley. Richard Petley is the Company’s Chief Revenue Officer and has served in this role since April 2024. Previously, Mr. Petley served as Teradata’s Executive Vice President, Global Sales, from April 2022, when he joined the Company, until April 2024. He served as General Manager, Western Europe, for Oracle Cloud, at Oracle, from 2021 until April 2022. From 2018 until 2021, he was the Managing Director, Oracle UK.

Scot Rogers. Scot Rogers is the Company’s Chief Administrative Officer and Corporate Secretary and has served in this role since joining Teradata in June 2025. Previously, from January 2014 until May 2025, he served as the Executive Vice President, General Counsel, Secretary and Chief Compliance Officer for F5 Networks, Inc., a transnational company that specializes in application services and application delivery networking. From 2005 until 2013, he held various senior legal roles at F5.

There are no family relationships between any of the executive officers or directors of Teradata.

There are no contractual obligations regarding the selection of our executive officers.

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Information. Teradata makes available through its website, free of charge, its Annual Report on Form 10-K, Quarterly Reports on Form 10-Q, and Current Reports on Form 8-K, and all amendments to such reports, as soon as reasonably practicable after these reports are electronically filed or furnished to the U.S. Securities and Exchange Commission ("SEC") pursuant to Section 13(a) or 15(d) of the Securities Exchange Act of 1934 (the "Exchange Act"). These reports and other information are available, free of charge, at www.sec.gov. Teradata will furnish, without charge to a security holder upon written request, the Notice of Meeting and Proxy Statement for the 2026 Annual Meeting of Stockholders. Teradata will furnish the Code of Conduct and any other exhibit at cost (the Code of Conduct is also available through Teradata’s website at https://www.teradata.com/about-us/corporate-governance/code-of-conduct/). Document requests are available by calling or writing to:

Teradata - Investor Relations

17095 Via Del Campo

San Diego, CA 92127

Phone: 858-485-2088

Website: www.teradata.com