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Teradata Accelerates AI Innovation with More than 150 Enterprise AI Engagements in 2025

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SAN DIEGO, Jan. 13, 2026 /PRNewswire/ -- Teradata (NYSE: TDC) today announced significant momentum i...

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AI Summary

Teradata engaged in 150+ AI-oriented projects in 2025. AI solutions help streamline processes in various industries. Customer satisfaction and efficiency are primary focus areas. Companies utilize Teradata for real-time insights and operational AI. AI adoption is now moving to large-scale enterprise deployments.

Sentiment Rationale

The growing demand for AI solutions indicates potential revenue increase for TDC. Historical data shows that companies with strong AI portfolios outperform peers during tech booms.

Trading Thesis

Sustained AI adoption trends suggest continuous growth opportunities over several quarters. Prior periods of tech adoption (e.g., cloud computing) showed lasting positive impact on valuations.

Market-Moving

  • Teradata engaged in 150+ AI-oriented projects in 2025.
  • AI solutions help streamline processes in various industries.
  • Customer satisfaction and efficiency are primary focus areas.

Key Facts

  • Teradata engaged in 150+ AI-oriented projects in 2025.
  • AI solutions help streamline processes in various industries.
  • Customer satisfaction and efficiency are primary focus areas.
  • Companies utilize Teradata for real-time insights and operational AI.
  • AI adoption is now moving to large-scale enterprise deployments.

Companies Mentioned

  • IBM (IBM)
  • MSFT (MSFT)
  • ORCL (ORCL)
  • GOOG (GOOG)

Industry News

The focus on AI capabilities aligns closely with TDC's business strategy, reflecting strong market positioning.

Teradata Reports Strong Growth in AI Engagements with 150+ Projects in 2025

Teradata Corporation (NYSE: TDC) has made significant strides in the realm of artificial intelligence (AI), achieving over 150 AI-focused customer engagements in 2025. This achievement underscores Teradata's commitment to helping organizations scale AI operations and address complex business challenges, thereby unlocking measurable value for enterprises across various sectors.

Key Highlights from Teradata's 2025 AI Initiatives

  • Engaged with over 150 customers in diverse industries including financial services, healthcare, manufacturing, and defense.
  • Unified structured and unstructured data, operationalizing AI and machine learning (ML) to provide real-time insights.
  • Focused on high-value use cases like fraud detection, compliance streamlining, customer experience optimization, and mission-critical defense applications.

Impactful Case Studies in Various Industries

Teradata's AI solutions have had profound impacts across multiple sectors. Here are a few notable case studies:

Retail Finance

Customer: A large multinational bank
Challenge: High costs and inefficiencies in anti-money laundering processes due to fragmented architecture.
Solution: Utilized Teradata's autonomous AI to expedite the deployment of machine learning models, automating model governance and significantly reducing deployment times.
Outcome: Achieved faster deployment cycles, leading to cost savings.

Automotive Manufacturing

Customer: A global auto manufacturer
Challenge: Data integration challenges hampering R&D cycles.
Solution: Combined design specifications with IoT data and employed time-series analytics, facilitating a streamlined querying process for engineers.
Outcome: Notable increase in R&D productivity.

Healthcare

Customer: A global healthcare provider
Challenge: Required efficient and secure processing of sensitive medical imaging data.
Solution: Implemented an in-database model for dataset integration while ensuring patient confidentiality.
Outcome: Enabled high-performance processing of medical data, improving workflow efficiency.

Defense and Security

Customer: A European defense agency
Challenge: Enhanced need for asset camouflage amid advanced surveillance technologies.
Solution: Applied AI for real-time object detection and analysis, using mobile technology for rapid insights.
Outcome: Improved operational effectiveness in asset protection.

The Significance of AI Adoption

The transition from experimental AI implementations to enterprise-scale deployments is pivotal. Teradata's autonomous AI and knowledge platform integrates various technologies to create operational AI systems that ensure robust performance, security, and governance.

Executive Insights

Mike Hutchinson, Chief Operating Officer at Teradata, stated, "Our customers want AI that works at real-world enterprise speed and scale—not just demos. These engagements demonstrate how Teradata's autonomous AI and knowledge platform enables enterprises to utilize trusted data and advanced analytics to drive real business outcomes."

About Teradata

Teradata is recognized as the AI platform built for the autonomous era. With its AI + Knowledge Platform and comprehensive AI services, Teradata equips enterprises to deploy sophisticated solutions tailored to their unique industry challenges. The platform's versatility allows it to operate seamlessly across cloud, on-premise, and hybrid environments to meet the performance needs of AI applications.

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