Agentic Analytics & the Rise of the AI Context Engineer
Your agentic analytics pilot worked great with ten power users. Then 500 people started asking questions, the edge cases piled up, and a VP replied to a chart with a single question mark.
At Databricks' Data + AI Summit 2026, Geetesh Iyer, founding product manager at WisdomAI, walks through what data teams usually try next: a new model, cleaner data, a semantic layer. Each one helps. None of them capture why the business makes the decisions it does, like the end-of-quarter discount or the table everyone quietly knows not to trust.
That missing piece is enterprise context. Geetesh explains how to build it, keep it current, and who should own it.
What you'll learn:
The three layers of enterprise context: semantic, business and operational, and governance
How an adaptive context engine brings context from any source to any surface, whether that's WisdomAI, Claude, or Copilot
Why the data analyst is becoming the AI context engineer (ACE), and what that role actually does
How to check AI answers the way your CFO would before they reach a board deck
Stick around for why the most important person in a recording studio is the sound engineer, plus audience Q&A on measuring accuracy, Unity Catalog, and keeping humans in the loop.