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How Agentic AI Is redefining data fabric
The role of data fabric is evolving rapidly as organizations scale AI across increasingly complex data ecosystems. Agentic AI introduces systems that can pursue defined goals, make context-aware decisions, and continuously optimize performance. When paired with advanced data intelligence, these capabilities enable data fabrics to learn from interactions, adapt in real time, and automate data orchestration across the enterprise.
Teradata’s performance in the 2025 evaluation
In this evaluation, Teradata received the highest possible scores (5/5) in both the Vision and Roadmap criteria, which we believe reflects Forrester’s acknowledgment of our long-term strategy and clarity of direction.
Teradata also earned 5/5 scores in three Current Offering criteria, including Data Product Lifecycle Management—which, to us, underscores the strength and maturity of our platform in powering enterprise-scale analytics and AI.
This recognition reinforces Teradata’s commitment to helping customers operationalize trusted, AI-driven decisioning across hybrid and multi-cloud environments, supported by a consistent record of performance, scalability, and governance.
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A Leader in Data Fabric Platforms
Teradata VantageCloud and ClearScape Analytics® unify enterprise-scale data, AI, and analytics across any environment—from on premises to public cloud—with integrated governance, advanced workload management, and seamless multi-cloud connectivity.
By enabling real-time insight from distributed data, organizations can accelerate innovation, enhance customer experiences, and drive measurable business outcomes.
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