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:
- A clear, vendor-agnostic definition of the semantic layer, and the context layer that sits above it
- Why cost-conscious AI starts with governed context, not smaller models
- Where "one semantic layer" works as a strategy, and where it needs to flex as an engineering reality
- Talking points to bring back to your team before Day 3
Hosted by Jane Smith and Sonny Rivera of ThoughtSpot, with special guest Jessica Talisman.
Attend the day that fits your role,
or send your whole team and divide
it up.
Plan it, see it, build it
Semantic & Context Layer
Highlighting strategies to ensure trusted results, efficient token usage, balancing governance with flexibility
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Day 2
Hear Real Customer Success Stories & Best Practices from Tech Partners
Two customers, two implementations (Snowflake Semantic Views and dbt), and the trade-offs they'd repeat or skip next time.
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Day 3
Live Build: Agentic Analytics & Intelligent Apps on One Semantic Model
Watch a semantic model get built once, then see it power both an embedded analytics app and an AI analyst.
Save your seatCan’t make it live? Register anyway to get the on-demand recordings.
Meet our speakers
Jessica Talisman
Owner and Founder
Jane Smith
Field Chief Data and AI Officer, EMEA
Sonny Rivera
Principal Data and AI Strategist