Welcome to our dedicated page for Teradata news (Ticker: TDC), a resource for investors and traders seeking the latest updates and insights on Teradata stock.
Teradata Corporation (NYSE: TDC) regularly issues news that centers on its role as an AI platform for the autonomous era, its AI + Knowledge Platform, and its AI Services. Company announcements highlight how Teradata supports enterprise AI, data fabric, and analytics workloads across cloud, on‑premises, and hybrid environments.
News items include AI engagement milestones, such as completing more than 150 AI‑focused customer engagements across industries like financial services, healthcare, manufacturing, and defense. These stories often describe specific use cases, including anti–money laundering, customer feedback analysis, R&D optimization, defense asset protection, and secure processing of medical imaging data.
Teradata also publishes updates on new offerings and capabilities, such as Autonomous Customer Intelligence, Teradata AI Services, and AgentBuilder for building autonomous AI agents. These releases explain how the company aims to help organizations move from AI experimentation to production, using harmonized data, reusable data products, and agentic AI architectures.
Another category of news covers analyst and customer recognition, with Teradata reporting its inclusion in evaluations of data science and machine learning platforms and data fabric platforms. The company highlights ratings, scores, and commentary related to its vision, roadmap, performance, and scalability.
Investors and observers can also find financial and investor‑relations updates, including earnings release dates, quarterly results, and participation in technology and AI conferences. Together, these news items provide an ongoing view of how Teradata presents its strategy, product evolution, AI services, and capital‑markets communication.
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Teradata Corporation (NYSE: TDC) will announce its 2023 first quarter financial results on May 4, 2023, after market close. Following the release, the company will conduct a conference call to discuss these results at 2 p.m. PT on the same day. The call will also provide a comprehensive business and financial update.
The live webcast of the call will be accessible on Teradata's Investor Relations page, with a replay available afterwards. Teradata is recognized as a leading connected multi-cloud data platform, specializing in enterprise analytics that tackle complex business challenges.
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Teradata (TDC) has announced the integration of its VantageCloud platform with Microsoft Azure Machine Learning, enhancing the capabilities for machine learning initiatives. This partnership aims to simplify and accelerate AI/ML project deployment, addressing the challenge that only 54% of such projects transition from pilot to production. VantageCloud's scalability and analytics, combined with Azure ML’s tools, allow enterprises to leverage their data effectively across sectors like retail, financial services, and healthcare. The integration is available globally, supporting organizations in maximizing their AI investments.
Teradata reported its Q4 2022 financial results, showing a public cloud ARR of $357 million, up 77% year-over-year. Total revenue decreased 5% to $452 million. Recurring revenue also declined 2%, accounting for 79%
of total revenue. GAAP EPS was ($0.07) while Non-GAAP diluted EPS was $0.35. The company generated $129 million in cash from operations and aims to increase its free cash flow target to 75%. For 2023, Teradata projects public cloud ARR growth of 53% to 57% and total revenue growth of 1% to 4%.
Teradata Corporation (NYSE: TDC) will announce its fiscal fourth quarter and full year financial results for 2022 before market open on February 13, 2023. A conference call and live webcast will occur at 5 a.m. PT to discuss these results and provide a financial outlook for 2023. Investors can access the live webcast on Teradata's Investor Relations page.
Teradata offers a multi-cloud data platform for enterprise analytics, aimed at resolving business challenges efficiently.