Teradata reported strong momentum in AI-powered solutions for global enterprises in 2025, completing over 150 AI-focused customer engagements. These initiatives helped organizations across industries operationalize AI at scale, addressing complex challenges and delivering measurable business value through its autonomous AI and knowledge platform.
Quick Intel
Teradata (NYSE: TDC) today announced significant momentum in delivering AI-powered solutions for global enterprises. In 2025, Teradata completed more than 150 AI-focused customer engagements, helping organizations operationalize AI at scale to solve complex business challenges and unlock measurable value.
Teradata's AI platform for the autonomous era unifies structured and unstructured data, operationalizes AI and machine learning models, and delivers real-time insights. The work emphasized high-value applications such as fraud detection and reduction, streamlined compliance processes, customer experience analytics to boost satisfaction, R&D optimization for greater innovation and efficiency, and mission-critical defense scenarios to safeguard high-value assets.
In retail finance, a large multinational bank addressed slow and costly anti-money laundering model deployment caused by fragmented architecture and regulatory demands. Teradata's autonomous AI and knowledge platform accelerated ML-driven anomaly detection and automated model governance, resulting in more models deployed with faster cycles and substantial time and cost savings.
Another large Asian bank struggled with analyzing over 50,000 weekly customer interaction transcripts. Teradata vectorized chats using a task-specific language model and applied large language models for topic extraction and sentiment detection, enabling the identification of key NPS drivers and refined customer engagement strategies.
For a global auto manufacturer facing data integration delays in R&D, Teradata vectorized design specifications, combined them with IoT and telemetry data, applied time-series and geospatial analytics at scale, and overlaid an LLM to create a natural language interface for engineers. This approach delivered a significant increase in R&D productivity.
A European defense agency sought to enhance camouflage effectiveness for high-value assets amid advanced surveillance and AI-driven weaponry. Using Teradata's AI Services in a sprint-based model, the solution provided AI-assisted object detection and pattern analysis from mobile-uploaded photos, offering rapid natural-language advice to improve protection of personnel and assets in real time.
In healthcare, a global company required scalable, secure processing of medical image data like mammograms while preserving patient confidentiality and integrating with broader records. Teradata implemented an in-database model with parallel processing to handle large datasets, removed identifying metadata, and applied temporal security controls, enabling high-performance workflows and better data access for clinical and research use.
AI adoption continues to shift from experimentation to production-scale deployments. Teradata's autonomous AI and knowledge platform integrates data, analytics, knowledge retrieval, and generative and agentic AI to build operational systems with strong performance, security, and governance.
"Our customers want AI that works at real-world enterprise speed and scale—not just demos. These engagements demonstrate how Teradata's autonomous AI + knowledge platform and AI services enable enterprises to integrate trusted data, apply advanced analytics, and deploy AI in production to drive real business and operational outcomes—helping organizations move faster from insight to action." –– Mike Hutchinson, Chief Operating Officer at Teradata.
About Teradata
Teradata is the AI platform built for the autonomous era. Our AI + Knowledge Platform and multifaceted AI Services help enterprises deploy solutions with deep domain expertise and full enterprise context. Wherever data resides—cloud, on-prem, or hybrid—Teradata connects and scales to deliver the performance AI needs.
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