Data Tech 2026

Everyone is talking about agents, copilots, and AI-native analytics. But as enterprises move from demos to deployment, many are discovering the same thing: the missing piece isn’t another model — it’s context.

This talk cuts through the noise around agentic AI and explores what a true context engine actually is, why many current approaches fall short, and how the role of the analyst is evolving into that of an AI Context Manager. We’ll also discuss how companies at different stages of AI maturity approach this problem differently — from early experimentation to operationalized, trusted AI systems at scale.