Introducing the TQ Data Foundation–the Context Layer for trusted, autonomous agents. [LEARN MORE]
Enterprises spend millions on master data management, data catalogs, and AI infrastructure — and still can’t get their systems to agree on what the data means. The missing piece isn’t more tooling. It’s a governed reference data layer that travels with your data everywhere it goes.
See how TopQuadrant’s TQ Data Foundation uses MCP to bring enterprise context directly into AI applications.
Explore the significance of a context layer in data governance and analytics as highlighted at the Gartner Summit.
Context Layer Definition: The Context Layer connects enterprise data to business meaning, relationships, and governance so that AI systems can reason about how an organization actually works.
AI exposes the limits of traditional MDM. Discover why reference data requires a different approach in an ai-ready data foundation.
Learn how to build an ai ready data foundation using semantic ontologies and knowledge graphs to support trusted, scalable enterprise AI.
AI models struggle without context. Explore how an ai ready data foundation enables scalable, trustworthy enterprise AI.
AI Is Exposing What’s Missing Enterprises are investing heavily in AI. Yet many are struggling to move from pilots to production. The common assumption is
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