AI agents are only as trustworthy as the context they inherit. And in financial services, insurance, and life sciences, "trustworthy" isn't a marketing word. It's a regulatory requirement. BCBS 239, SR 11-7, Solvency II, IDMP, and the EU AI Act all assume you can prove what your data means, where it came from, and who is allowed to use it. Most platforms can't, and the ones that can often lock that context inside their own walls.

In this session, TopQuadrant CEO Nimit Mehta will show why the next generation of governance won't be a feature inside someone else's lakehouse or data catalog — it will be an open, semantic context layer built on the same W3C standards (RDF, SHACL, SPARQL) that power the most heavily regulated data ecosystems on earth, from GLEIF to global pharma submissions. You'll see how leading banks, insurers, and pharmaceutical companies are using TopQuadrant Data Foundation to unify reference data, business glossaries, policies, lineage, and AI-ready metadata into a single governed foundation that agents and analysts can both query with confidence.

Most importantly, you'll see what "interoperable" really means: a context layer you own, in open standards, portable across every cloud, model, and tool you use today (and every one you'll adopt next). No lock-in. No re-platforming. Just trusted context, wherever your AI takes you.

Key Takeaways:

• Why open semantic standards (RDF, SHACL, SPARQL) are becoming the de facto foundation for regulated AI — and what that means for your current governance investments

• How to unify reference data, glossaries, policy, and lineage into a single context layer that both AI agents and humans can trust

• A practical framework for evaluating "AI-ready" platforms against the interoperability and portability requirements your auditors, regulators, and architects will all ask about

Speaker: Nimit Mehta, CEO, TopQuadrant

Nimit Mehta is CEO of TopQuadrant, the pioneer of semantic, knowledge-graph-powered data governance and the company behind TopQuadrant Data Foundation. Under his leadership, TopQuadrant is helping the world's most regulated enterprises — across financial services, insurance, life sciences, and government — build open, interoperable context layers that make their data trustworthy for both human decisions and AI agents.