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On Demand

The Future of the Semantic Layer for BI and AI

One KPI, three dashboards, three answers? Time to fix semantics.

AI copilots and self-service analytics promise instant insights — but without shared semantics, those tools produce inconsistent results.

What if the semantic layer didn’t live inside individual BI tools, but in your data platform? A single foundation of business context gives every team — human or AI — the same version of the truth, with clear KPIs, faster decisions and AI that understands your data.

In this webinar, Databricks product leaders and TDWI’s VP of Research for Advanced Analytics share this new approach to the semantic layer.

If inconsistent answers are slowing you down, watch this webinar, where experts share:

  • How to evolve your semantic strategy
  • What makes Unity Catalog Business Semantics different from semantic layers in traditional BI models
  • How centralized, SQL-native metrics drive consistency across dashboards, AI agents and data tools
  • A demo of Unity Catalog Business Semantics and Databricks AI/BI

Don’t let inconsistent metrics and fragmented models derail your AI strategy. Watch now to see how a unified semantic layer ensures consistent metrics, trusted AI and faster insights across your organization.

Speakers

Ken Wong

Ken Wong

Senior Director, Product Management

Databricks

speaker fern halper

Fern Halper

Vice President and Senior Director, TDWI Research for Advanced Analytics

TDWI

richard-tomlinson

Richard Tomlinson

Director, Product Marketing

Databricks