Do You Trust AI on Your Data? Bridging the "Context Gap" with Governed Semantics
Wednesday, April 1, 2026
Table of contents
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The promise of conversational, self-service insights often hits a wall of reality: hallucinations and incorrect numbers. The problem isn't the AI; it’s a "context gap." While LLMs can see your basic schema metadata, they are blind to the 90% of business logic and tribal knowledge that defines your organization. Join Snowflake’s Vijay Ganesan to explore how the new Snowflake Semantic View and Semantic View Autopilot (SVA) bridge this gap. Learn how to ground your AI agents in a governed, native schema object that ensures consistent answers across every interface, from Cortex Analyst to Domo.
Takeaways:
- Close the Context Gap: Understand why LLMs only see 10% of the data they need and how to provide the missing 90% of business context.
- Establish a Single Truth: Learn how Semantic Views serve as a native schema object to ensure consistent, interoperable answers across interfaces like Domo thanks to the Open Semantic Interchange.
- Eliminate Hallucinations: Discover how grounding AI in governed semantics provides the accurate foundation necessary to prevent incorrect results
Speakers
Vijay Ganesan
Senior Director, Product Management
Domo transforms the way these companies manage business.
