
Get the trust layer wrong, and every agent built on top of it repeats the same mistakes.
In this session, we set the stage for the rest of the series: what a context layer actually is, how it differs from the BI semantic layers you already know, and why token anxiety is really a context problem.
Then we stress-test that definition against engineering reality, so you leave with a position you can actually defend to your engineering team.
This 30-minute session is meant for business leaders, data leaders, and practitioners. What you'll take away:
Hosted by Jane Smith and Sonny Rivera of ThoughtSpot, with special guest Jessica Talisman.
Plan it, see it, build it
Highlighting strategies to ensure trusted results, efficient token usage, balancing governance with flexibility
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Two customers, two implementations (Snowflake Semantic Views and dbt), and the trade-offs they'd repeat or skip next time.
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Watch a semantic model get built once, then see it power both an embedded analytics app and an AI analyst.
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