Latest news with #Teradata
Business Recorder
5 days ago
- Business
- Business Recorder
PTCL Group partners with Teradata
ISLAMABAD: The PTCL Group (Pakistan Telecommunication Company Limited and Ufone 4G), Pakistan's leading telecom and ICT services provider, has partnered with Teradata to transform and scale its Enterprise Data Warehouse platform, said a press release. This extended engagement marks a significant milestone in the PTCL Group's journey toward digital excellence, aligned with its vision to become a data-driven, AI-enabled enterprise. This partnership extension will enable PTCL Group to scale its data infrastructure into a high-performance, intelligent platform capable of supporting real-time insights, smarter decision-making, and enhanced customer experiences. The initiative is central to PTCL Group's broader data and AI roadmap, aimed at creating operational agility and long-term service excellence. Jafar Khalid, group chief technology and information officer PTCL and Ufone 4G, said, 'Our extended collaboration with Teradata is a key step in PTCL Group's intelligent digital transformation journey. Scaling our Enterprise Data Warehouse platform allows us to unlock new capabilities in analytics that are essential for driving innovation and elevating customer value. This partnership reflects a shared vision for creating an agile and intelligence-led enterprise.' Copyright Business Recorder, 2025
Business Wire
05-08-2025
- Business
- Business Wire
Teradata Reports Second Quarter 2025 Financial Results
SAN DIEGO--(BUSINESS WIRE)--Teradata (NYSE: TDC) today announced its second quarter 2025 financial results. 'Teradata executed well in Q2, building on our cloud growth and longstanding strength in on-prem to provide customers with their preferred hybrid data and analytics environments for implementing AI. In the second quarter, we finished above the high-end of our recurring revenue outlook range, at the top end of our total revenue range, and EPS outperformed our expectations,' said Steve McMillan, President and CEO, Teradata. 'Our extensive capabilities position us well as we build the modern data platforms customers need to manage the high quality, well-governed and trusted data foundations that deliver successful AI outcomes.' Second Quarter 2025 Financial Highlights Compared to Second Quarter 2024 Public cloud ARR increased to $634 million from $542 million, an increase of 17% as reported and 15% in constant currency (1) Total ARR increased to $1.489 billion from $1.465 billion, an increase of 2% as reported and 0% in constant currency (1) Recurring revenue was $354 million versus $368 million, a decrease of -4% as reported and -4% in constant currency (1) Total revenue was $408 million versus $436 million, a decrease of -6% as reported and -7% in constant currency (1) Recurring revenue was 87% of total revenue versus 84% GAAP gross margin was 56.4% versus 60.8% Non-GAAP gross margin was 58.3% versus 62.2% (2) GAAP operating margin was 5.9% versus 15.1% Non-GAAP operating margin was 16.4% versus 22.0% (2) GAAP diluted EPS was $0.09 versus $0.38 per share Non-GAAP diluted EPS was $0.47 versus $0.64 per share (2) Cash flow from operations was $43 million compared to $43 million Free cash flow was $39 million compared to $39 million (3) Outlook For the third quarter of 2025: Recurring revenue in the range of -4% to -6% year-over-year, in constant currency (4) Total revenue in the range of -7% to -9% year-over-year, in constant currency (4) GAAP diluted EPS is expected to be in the range of $0.24 to $0.28 per share Non-GAAP diluted EPS is expected to be in the range of $0.51 to $0.55 per share (2) For the full-year 2025, Teradata updates the following ranges: Total revenue range is now expected to be in the range of -5% to -7% year-over-year, in constant currency (4) GAAP diluted EPS is now expected to be in the range of $1.04 to $1.12 Non-GAAP diluted EPS is now expected to be in the range of $2.17 to $2.25 per share (2) Teradata reaffirms the following ranges for the full-year 2025: Public cloud ARR growth of 14% to 18% year-over-year, in constant currency (4) Total ARR in the range of flat to 2% year-over-year, in constant currency (4) Recurring revenue in the range of -3% to -5% year-over-year, in constant currency (4) Cash flow from operations of $270 million to $300 million Free cash flow of $250 million to $280 million (3) Earnings Conference Call The conference call will begin at 1:30 p.m. PT on August 5, 2025. Investors and participants may attend the call by dialing (404) 975-4839 and entering access code 479245. For investors and participants outside the United States, see global dial-in numbers here, and use access code 479245. The live webcast, as well as a replay, will be available on the Investor Relations page of the Teradata website at Supplemental Financial Information Additional information regarding Teradata's operating results is provided below as well as on Teradata's website at The impact of currency on ARR is determined by calculating the prior period ending ARR using the current period end currency rates. * Annual recurring revenue ('ARR') is defined as the annual value at a point in time of all recurring contracts, including subscription, cloud, software upgrade rights, and maintenance. Total ARR does not include managed services. The Company believes this is a useful metric to investors as it demonstrates progress toward achieving our strategic objectives as outlined in the Form 10-K and Form 10-Q. ** Public cloud ARR is defined as the annual value at a point in time of all contracts related to public cloud implementations of Teradata VantageCloud and does not include ARR related to private or managed cloud implementations. The Company believes this is a useful metric to investors as it demonstrates progress toward achieving our strategic objectives as outlined in the Form 10-K and Form 10-Q. Expand 2. Teradata reports its results in accordance with GAAP. However, as described below, the Company believes that certain non-GAAP measures such as free cash flow, non-GAAP gross profit, non-GAAP operating income, non-GAAP net income, and non-GAAP diluted earnings per share, all of which exclude certain items, and which may be reported on a constant currency basis, are useful for investors. Our non-GAAP measures are not meant to be considered in isolation to, as substitutes for, or superior to, results determined in accordance with GAAP, and should be read only in conjunction with our condensed consolidated financial statements prepared in accordance with GAAP. Each of our non-GAAP measures do not have a uniform definition under GAAP and therefore, Teradata's definition may differ from other companies' definitions of these measures. The following tables reconcile Teradata's actual and projected results and EPS under GAAP to the Company's actual and projected non-GAAP results and EPS for the periods presented, which exclude certain specified items. Our management internally uses supplemental non-GAAP financial measures, such as gross profit, operating income, net income, and EPS, excluding certain items, to understand, manage and evaluate our business and support operating decisions on a regular basis. The Company believes such non-GAAP financial measures (1) provide useful information to investors regarding the underlying business trends and performance of the Company's ongoing operations, (2) are useful for period-over-period comparisons of such operations and results, that may be more easily compared to peer companies and allow investors a view of the Company's operating results excluding stock-based compensation expense and special items, (3) provide useful information to management and investors regarding present and future business trends, and (4) provide consistency and comparability with past reports and projections of future results. Expand For the Three Months ended June 30 For the Six Months ended June 30 2025 Outlook Earnings Per Share: 2025 2024 2025 2024 Q3 FY GAAP Earnings Per Share $0.09 $0.38 $0.55 $0.58 $0.24 - $0.28 $1.04 - $1.12 Excluding: Stock-based compensation expense 0.32 0.30 0.54 0.63 0.28 1.11 Reorganization and other costs 0.13 0.01 0.15 0.10 0.06 0.27 Income tax adjustments (i) (0.07) (0.05) (0.12) (0.11) (0.07) (0.25) Non-GAAP Diluted Earnings Per Share $0.47 $0.64 $1.12 $1.20 $0.51 - $0.55 $2.17 - $2.25 Expand i. Represents the income tax effect of the pre-tax adjustments to reconcile GAAP to Non-GAAP income based on the applicable jurisdictional statutory tax rate of the underlying item. Including the income tax effect assists investors in understanding the tax provision associated with those adjustments and the effective tax rate related to the underlying business and performance of the Company's ongoing operations. As a result of these adjustments, the Company's non-GAAP effective tax rate for the three months ended June 30, 2025, was 19.6% and June 30, 2024, was 27.1%. In addition, for the first quarter and full year 2025, we included a discrete tax adjustment of ($0.06) for the expected reversal of tax reserves due to the final settlement of an IRS audit in the first quarter of 2025. For the six months ended June 30, 2025, the Company's non-GAAP effective tax rate was 21.6% and June 30, 2024, was 25.6%. 3. As described below, the Company believes that free cash flow is a useful non-GAAP measure for investors. Free cash flow does not have a uniform definition under GAAP in the United States and therefore, Teradata's definition may differ from other companies' definitions of this measure. Teradata defines free cash flow as cash provided by/used in operating activities, less investing activities related to capital expenditures for property and equipment and additions to capitalized software ('total capital expenditures'). Teradata's management uses free cash flow to assess the financial performance of the Company and believes it is useful for investors because it relates the operating cash flow of the Company to the capital that is spent to continue and improve business operations. In particular, free cash flow indicates the amount of cash generated after capital expenditures which can be used for among other things, investments in the Company's existing businesses, strategic acquisitions, strengthening the Company's balance sheet, repurchase of Company stock and repay the Company's debt obligations. Free cash flow does not represent the residual cash flow available for discretionary expenditures since there may be other non-discretionary expenditures that are not deducted from the measure. This non-GAAP measure should not be considered as a substitute for, or superior to, cash flows from operating activities under GAAP. Expand 4. We are providing an outlook for the 2025 growth rates for public cloud ARR, total ARR, recurring revenue, and total revenue in constant currency to provide better visibility into the underlying growth of the business. Teradata calculates public cloud ARR and total ARR in constant currency by calculating the prior period ending public cloud ARR or total ARR, as applicable, using the current period end currency rates. It is impractical to provide a schedule on currency period end rates at a future point in time. Teradata calculates recurring revenue and total revenue in constant currency by using the prior-period results with the current-year monthly average currency rates. See the foreign currency fluctuation schedule on the Investor Relations page of the Company's website at to calculate the anticipated impact of currency on the revenue outlook. Expand Note to Investors This release contains forward-looking statements within the meaning of Section 21E of the Securities and Exchange Act of 1934. Forward-looking statements generally relate to opinions, beliefs, and projections of expected future financial and operating performance, business trends, liquidity, and market conditions, among other things. These forward-looking statements are based upon current expectations and assumptions and often can be identified by words such as 'expect,' 'strive,' 'looking ahead,' 'outlook,' 'guidance,' 'forecast,' 'anticipate,' 'continue,' 'plan,' 'estimate,' 'believe,' 'focus,' 'see,' 'commit,' 'should,' 'project,' 'will,' 'would,' 'likely,' 'intend,' 'potential,' or similar expressions. Forward-looking statements in this release include our 2025 third quarter and 2025 full year financial outlook. Forward-looking statements involve risks and uncertainties that could cause actual results to differ materially, including those relating to: the global economic environment and business conditions in general, including inflation, tariffs, and/or recessionary conditions; the ability of our suppliers to meet their commitments to us; the timing of purchases, migrations, or expansions by our current and potential customers, including our ability to retain customers; the rapidly changing and intensely competitive nature of the information technology industry, the data analytics business, and artificial intelligence capabilities; fluctuations in our operating, capital allocation, and cash flow results; our ability to execute and realize the anticipated benefits of our refreshed brand, business transformation program or restructuring, sales and operational execution initiatives, and cost saving initiatives, including the restructuring actions; risks inherent in operating in foreign countries, including sanctions, tariffs, foreign currency fluctuations, and/or acts of war; risks associated with data privacy, cyberattacks and maintaining secure and effective products for our customers, as well as, internal information technology and control systems; the timely and successful development, production or acquisition, availability and/or market acceptance of new and existing products, product features and services, including for artificial intelligence; tax rates; turnover of our workforce and the ability to attract and retain skilled employees; protecting our intellectual property; availability and successful execution of new alliance and acquisition opportunities; subscription arrangements that may be cancelled or fail to be renewed; the impact on our business and financial reporting from the implementation of a new ERP system and changes in accounting rules; and other factors described from time to time in Teradata's filings with the U.S. Securities and Exchange Commission, including its most recent annual report on Form 10-K, and subsequent quarterly reports on Forms 10-Q or current reports on Forms 8-K, as well as Teradata's annual report to stockholders. Teradata does not undertake any obligation to publicly update or revise any forward-looking statements, whether as a result of new information, future events or otherwise, except as required by law. About Teradata At Teradata, we believe that people thrive when empowered with trusted information. We offer the most complete cloud analytics and data platform for AI. By delivering harmonized data and trusted AI, we enable more confident decision-making, unlock faster innovation, and drive the impactful business results organizations need most. See how at The Teradata logo is a trademark, and Teradata is a registered trademark of Teradata Corporation and/or its affiliates in the U.S. and worldwide. Schedule B TERADATA CORPORATION (in millions - unaudited) June 30, December 31, June 30, 2025 2024 2024 Assets Current assets Cash and cash equivalents $ 369 $ 420 $ 301 Accounts receivable, net 293 234 248 Inventories 5 18 22 Other current assets 90 77 94 Total current assets 757 749 665 Property and equipment, net 205 185 209 Right of use assets - operating lease, net 9 8 7 Goodwill 400 394 395 Capitalized contract costs, net 37 46 52 Deferred income taxes 231 226 206 Other assets 98 96 88 Total assets $ 1,737 $ 1,704 $ 1,622 Liabilities and stockholders' equity Current liabilities Current portion of long-term debt $ 25 $ 25 $ 25 Current portion of finance lease liability 60 57 62 Current portion of operating lease liability 4 4 4 Accounts payable 115 106 85 Payroll and benefits liabilities 84 111 85 Deferred revenue 521 512 529 Other current liabilities 89 115 99 Total current liabilities 898 930 889 Long-term debt 443 455 467 Finance lease liability 46 30 48 Operating lease liability 5 5 4 Pension and other postemployment plan liabilities 108 104 93 Long-term deferred revenue 12 10 10 Deferred tax liabilities 10 9 7 Other liabilities 39 28 29 Total liabilities 1,561 1,571 1,547 Stockholders' equity Common stock 1 1 1 Paid-in capital 2,244 2,192 2,131 Accumulated deficit (1,932 ) (1,913 ) (1,924 ) Accumulated other comprehensive loss (137 ) (147 ) (133 ) Total stockholders' equity 176 133 75 Total liabilities and stockholders' equity $ 1,737 $ 1,704 $ 1,622 Expand Schedule C TERADATA CORPORATION CONDENSED CONSOLIDATED STATEMENTS OF CASH FLOWS (in millions - unaudited) For the Period Ended June 30 Three Months Six Months 2025 2024 2025 2024 Operating activities Net income $ 9 $ 37 $ 53 $ 57 Adjustments to reconcile net income to net cash provided by operating activities: Depreciation and amortization 23 26 43 53 Stock-based compensation expense 31 29 53 63 Deferred income taxes (6 ) (4 ) 4 8 Loss on Blue Chip Swap - 1 - 3 Write off of right of use operating lease assets Changes in assets and liabilities: Receivables 14 63 (59 ) 38 Inventories 8 (6 ) 13 (9 ) Current payables and accrued expenses (24 ) (34 ) (54 ) (64 ) Deferred revenue (28 ) (47 ) 11 (53 ) Other assets and liabilities 16 (22 ) (13 ) (26 ) Net cash provided by operating activities 43 43 51 70 Investing activities Expenditures for property and equipment (4 ) (3 ) (5 ) (9 ) Additions to capitalized software - (1 ) - (1 ) Business acquisitions and other investing activities, including loss on Blue Chip Swap (1 ) (1 ) (1 ) (3 ) Net cash used in investing activities (5 ) (5 ) (6 ) (13 ) Financing activities Repurchases of common stock (28 ) (47 ) (72 ) (171 ) Repayments of long-term borrowings (6 ) (6 ) (12 ) (6 ) Payments of finance leases (17 ) (17 ) (33 ) (37 ) Other financing activities, net - - (2 ) (6 ) Net cash used in financing activities (51 ) (70 ) (119 ) (220 ) Effect of exchange rate changes on cash and cash equivalents 14 (5 ) 23 (22 ) Increase (decrease) in cash, cash equivalents and restricted cash 1 (37 ) (51 ) (185 ) Cash, cash equivalents and restricted cash at beginning of period 369 338 421 486 Cash, cash equivalents and restricted cash at end of period $ 370 $ 301 $ 370 $ 301 Supplemental cash flow disclosure: Non-cash investing and financing activities: Assets acquired by finance leases $ 19 $ 7 $ 52 $ 18 Assets acquired by operating leases $ 1 $ 1 $ 2 $ 1 Expand (1) Reconciling items include stock-based compensation, amortization of acquisition-related intangible assets and acquisition, integration and reorganization-related items. (2) The impact of currency is determined by calculating the prior period results using the current-year monthly average currency rates. Expand
Techday NZ
30-07-2025
- Business
- Techday NZ
Teradata launches MCP Server for trustworthy enterprise AI
Teradata has announced the launch of its open-source MCP Server – Community Edition, a framework aimed at enabling AI agents and users to query, analyse, and manage enterprise data with increased efficiency and trust. The MCP Server has been developed on Teradata's Vantage platform and is intended to provide AI agents with the necessary context for delivering meaningful outcomes. The server includes integrated features for data quality, security, feature management, and retrieval-augmented generation (RAG), designed to help businesses develop AI agents that are context-aware and trustworthy. In addressing the challenge of providing AI agents with adequate access to enterprise data, Teradata is targeting the difficulties organisations face as they transition from simply building advanced AI models to achieving meaningful insights from dispersed, complex data sets. The MCP Server offers AI developer tools, security prompts, feature store management, and custom tool integration. According to Teradata, these elements are intended to establish a modular, open-source base to create AI agents capable of reasoning, memory, and precise action within enterprise environments. "With the launch of the Teradata MCP Server, we're giving our customers a powerful new way to unlock the full potential of agentic AI. Success in this new era of AI hinges not just on model sophistication, but on meaningful context. By providing AI agents with trusted, transparent access to enterprise data, we're enabling our customers to build intelligent systems that are not only more capable, but also more aligned with real-world business needs. This is a major step forward in making AI truly enterprise-ready," said Louis Landry, Chief Technology Officer at Teradata. The company states that AI agents powered by Teradata Vantage and the MCP Server can deliver the required context, scale, and trust demanded by contemporary organisations. This approach is aimed at helping customers transition from isolated AI trials to deploying operational, context-aware agents across projects and departments more efficiently, with a focus on enhancing business outcomes. Healthcare use case In the healthcare sector, the MCP Server – Community Edition is being positioned as a practical solution for integrating data across fragmented sources such as electronic health records (EHRs), telehealth platforms, wearable devices, and various lifestyle data inputs. Data fragmentation has been a persistent obstacle to clinicians seeking a comprehensive patient view. Teradata proposes that the MCP Server, operating in conjunction with Vantage, can provide full-context patient intelligence by consolidating data from EHRs, lab results, prescriptions, telehealth transcripts, and patient-generated sources into a single, unified platform. This enables AI agents to access comprehensive data in context, supporting clinicians with personalised, context-aware recommendations. With support for predictive analytics, generative AI, and real-time operational insights provided by ClearScape Analytics, Teradata's platform is intended to enable AI agents to detect early warning signs, recommend treatment adjustments, and give evidence-based insights - all while centralising and securing patient data. From a technical perspective, the ability to perform high-scale analytics on millions of patient records or to generate immediate alerts is a design focus, with Teradata Vantage seeking to deliver these features in a cost-effective manner. This scalability is positioned as essential for healthcare providers aiming to expand personalised care while maintaining compliance requirements and operational routines. Technical features The MCP Server – Community Edition includes a set of modular and extensible tools enabling AI agents to interact with enterprise data: Developer tools for streamlined administration and database management Data quality tools to promote effective data analysis and ensure integrity Security tools for resolving data access and permission issues Feature store tools supporting the operationalisation of features for machine learning and AI applications RAG tools to simplify the development and management of vector stores for retrieval-augmented generation use cases Custom tools for deployment aligning with specific business and data contexts These capabilities have been structured to assist organisations in constructing AI agents that are not only equipped with intelligence but are also closely integrated with a business's operational and analytical processes. Teradata Vantage customers are able to access and implement the MCP Server for AI agent development and deployment with immediate effect.
Techday NZ
30-07-2025
- Business
- Techday NZ
Teradata upgrades ModelOps for scalable enterprise AI use
Teradata has introduced ModelOps updates to its ClearScape Analytics offering, targeting streamlined integration and deployment for Agentic AI and Generative AI applications as organisations transition from experimentation to production at scale. ModelOps platform The updated ModelOps platform aims to support analytics professionals and data scientists with native compatibility for open-source ONNX embedding models and leading cloud service provider large language model (LLM) APIs, including Azure OpenAI, Amazon Bedrock, and Google Gemini. With these enhancements, organisations can deploy, manage, and monitor AI models without having to rely on custom development, with newly added LLMOps capabilities designed to simplify workflows. For less technical users such as business analysts, ModelOps also integrates low-code AutoML tools, providing an interface that facilitates intuitive access for users of different skill levels. The platform's unified interface is intended to reduce onboarding time and increase productivity by offering consistent interactions across its entire range of tools. Challenges in AI adoption Many organisations encounter challenges when progressing from AI experimentation to enterprise-wide implementation. According to Teradata, the use of multiple LLM providers and the adoption of various open-source models can cause workflow fragmentation, limited interoperability, and steep learning curves, ultimately inhibiting wider adoption and slowing down innovation. Unified governance frameworks are often lacking, making it difficult for organisations to maintain reliability and compliance requirements as they scale their AI capabilities. These issues may cause generative and agentic AI projects to remain in isolation, rather than delivering integrated business insights. As a result, organisations could lose value if they are unable to effectively scale AI initiatives due to operational complexity and fragmented systems. Unified access and governance "The reality is that organisations will use multiple AI models and providers - it's not a question of if, but how, to manage that complexity effectively. Teradata's ModelOps offering provides the flexibility to work across combinations of models while maintaining trust and governance. Companies can then move confidently from experimentation to production, at scale, realising the full potential of their AI investments," said Sumeet Arora, Teradata's Chief Product Officer. Teradata's ModelOps strategy is designed to provide unified access to a range of AI models and workflows, while maintaining governance and ease of use. This is intended to allow business users to deploy AI models quickly and safely, supporting both experimentation and production use. An example scenario described by Teradata involved a bank seeking to improve its digital customer experience and retention rates by analysing customer feedback across channels. The unified ModelOps platform would allow the bank to consolidate multiple AI models - such as LLMs for sentiment analysis, embedding models for categorisation, and AutoML for predictive analytics - within one environment. The aim is to equip both technical and non-technical teams to act on customer intelligence at greater speed and scale. Key features The updated ModelOps capabilities in ClearScape Analytics include: Seamless Integration with Public LLM APIs : Users can connect with APIs from providers such as Azure OpenAI, Google Gemini, and Amazon Bedrock for a variety of LLMs, including Anthropic, Mistral, DeepSeek, and Meta. This integration supports secure registration, monitoring, observability, autoscaling, and usage analytics. Administrative options are available for retry policies, concurrency, and health or spend tracking at the project or model level. : Users can connect with APIs from providers such as Azure OpenAI, Google Gemini, and Amazon Bedrock for a variety of LLMs, including Anthropic, Mistral, DeepSeek, and Meta. This integration supports secure registration, monitoring, observability, autoscaling, and usage analytics. Administrative options are available for retry policies, concurrency, and health or spend tracking at the project or model level. Managing and monitoring LLMs with LLMOps : The platform supports rapid deployment of NVIDIA NIM LLMs within GPU environments. Features include LLM Model Cards for transparency, monitoring, and governance, as well as full lifecycle management - covering deployment, versioning, performance tracking, and retirement. : The platform supports rapid deployment of NVIDIA NIM LLMs within GPU environments. Features include LLM Model Cards for transparency, monitoring, and governance, as well as full lifecycle management - covering deployment, versioning, performance tracking, and retirement. ONNX Embedding Model Deployment : ClearScape Analytics natively supports ONNX embedding models and tokenisers, including support for Bring-Your-Own-Model workflows and unified deployment processes for custom vector search models. : ClearScape Analytics natively supports ONNX embedding models and tokenisers, including support for Bring-Your-Own-Model workflows and unified deployment processes for custom vector search models. Low-Code AutoML : Teams can create, train, monitor, and deploy models through an accessible low-code interface with performance monitoring and visual explainability features. : Teams can create, train, monitor, and deploy models through an accessible low-code interface with performance monitoring and visual explainability features. User Interface Improvements: The upgrade provides a unified user experience across all major tools, such as AutoML, Playground, Tables, and Datasets, with guided wizards and new table interaction options aimed at reducing skill barriers. Availability of the updated ModelOps in ClearScape Analytics is anticipated in the fourth quarter for users of AI Factory and VantageCloud platforms. Follow us on: Share on:
Techday NZ
30-07-2025
- Business
- Techday NZ
Teradata launches MCP Server to boost AI in enterprise data
Teradata has announced the release of the open-source Teradata MCP Server – Community Edition, a framework designed to facilitate querying, analysis, and management of enterprise data by AI agents and users. Built on the Teradata Vantage platform, the MCP Server aims to provide AI agents with enhanced context and tools for more effective decision-making across large organisational datasets. Teradata states that this framework includes capabilities for data quality, security, feature management, and retrieval-augmented generation (RAG), enabling the development of AI agents that are context-aware and able to operate at scale. AI context and trusted data The shift towards agentic AI has exposed challenges related not only to model advancement but to accessibility of relevant enterprise data. Teradata's MCP Server is designed to address these challenges by granting AI agents what the company describes as "deep semantic access" to organisational information, thus bridging the gap between raw data inputs and actionable intelligence. "With the launch of the Teradata MCP Server, we're giving our customers a powerful new way to unlock the full potential of agentic AI," said Louis Landry, Chief Technology Officer at Teradata. "Success in this new era of AI hinges not just on model sophistication, but on meaningful context. By providing AI agents with trusted, transparent access to enterprise data, we're enabling our customers to build intelligent systems that are not only more capable, but also more aligned with real-world business needs. This is a major step forward in making AI truly enterprise-ready." The MCP Server includes modular components, supporting integration for AI developer tools, security prompts, feature store management, and custom tool incorporation. According to Teradata, this structure is expected to enable the building of trusted AI agents that can handle complex reasoning, memory retention, and action with an enterprise focus. Healthcare use case In the healthcare sector, fragmentation of patient data across multiple systems such as electronic health records (EHRs), telehealth platforms, and personal devices is a persistent challenge. The MCP Server, leveraging Teradata Vantage, has been positioned as a solution for unifying these sources, thus allowing AI agents to operate with what the company calls "full-context intelligence" and to bridge the data silos that hinder clinicians' view of patient health. Teradata states that by consolidating EHRs, lab results, prescription data, telehealth transcripts, and patient-generated content onto a single integrated platform, the MCP Server allows AI agents to generate context-aware recommendations to support clinical decision-making. The inclusion of ClearScape Analytics provides built-in support for predictive analytics and generative AI alongside operational insights, which can facilitate tasks such as detecting early warning signs, suggesting treatment modifications, and providing evidence-based recommendations while keeping data within its native environment. Operational scale and efficiency Teradata Vantage is engineered to support analysis at significant scale, with the goal of enabling healthcare organisations to expand their use of personalised care while managing operational costs and compliance requirements. According to the company, by utilising the MCP Server in such scenarios, healthcare providers can build AI agents capable of both accurately interpreting varied health data and taking action based on those insights, potentially leading to improved patient care outcomes. Technical features The MCP Server is provided as a modular and extensible system for AI agents to operate with various operational tools. Key features as detailed by Teradata include: Developer tools designed to ease platform administration with tailored prompts and resources for database management. Data quality tools focused on accelerating exploratory analysis and maintaining data integrity. Security tools to address access and permission controls with embedded security prompts and workflows. Feature store management for machine learning and AI applications. RAG tools to facilitate creation and management of vector stores for retrieval-augmented generation use cases. Custom tools allowing deployment of resources specific to organisational needs. Teradata describes these combined capabilities as designed to support the development of AI agents that are both intelligent and integrated with an organisation's operational and analytical infrastructure. The MCP Server is now available to Teradata Vantage customers for use in building and deploying AI agents.
