Every CONTEXT 2026 session. On demand.
See how data and AI leaders are putting agents into production, and what it takes to build the context layer behind them.
A new hire gets context before they get access. Who owns what, which numbers are trustworthy, what certain acronyms mean, what they are not authorized to touch. Agents get a prompt and a connection string. Missing context, more than the model, is why most agent pilots stall between demo and production. Prajakta Damle, Senior Director of Product Management at Google Cloud, joins DataHub co-founder and CTO Shirshanka Das to talk through what that shared context layer looks like in practice. Prajakta leads Google Knowledge Catalog and the context behind Gemini agents. Shirshanka has spent a decade building the metadata foundations enterprises run on. Together they will get specific about what an agent needs on day one, what it should learn on the job, and how context flows across platforms so agents arrive prepared.