How to build a central source of context for your AI agent
Wednesday, 5/6/2026 at 11 am CST
As AI agents become embedded in how organizations access and act on data, the risk isn’t just unreliable reports. It’s confidently making the wrong decisions at scale. AI uses the context you give it, and runs with it.
That’s why the semantic layer is no longer optional.
In this session, Christina Salmi (Analytics8) and Matthew Mullins (Coginiti) explore why the semantic layer has become essential infrastructure for AI-ready data and how our clients are approaching it.
What you'll learn:
- Where the semantic layer fits in the data lifecycle and within your tech stack
- How clients are establishing their semantic layer and applying governance best practices (embedding quality checks, tracking lineage)
- An AI-assisted approach to index and analyze every version of key business metrics living in your tech stack in just minutes
- 5 practical steps to build a semantic foundation that earns trust and gets adopted
Who is this for?
- Chief Data Officers (CDOs) and Heads of Data, Analytics, and AI
- Data platform and data engineering leaders
- BI and analytics leaders responsible for trusted metrics and reporting
