ON-DEMAND DEMO

How Domain Experts Review and Approve Context in DataHub Cloud

DataHub Cloud doesn’t ask domain experts to go looking for context gaps. It finds them in Slack with a specific ask: a draft proposal that needs their sign-off. This session shows how to review, refine, and approve AI-generated context in plain English, without logging into the catalog.

What you’ll learn

How Context Proposals surface in Slack without requiring experts to log into the catalog
How to review an AI-drafted Context Document in plain English, no SQL or schemas required
How to use the built-in AI chat to pressure-test a description before approving it
How approved context becomes immediately visible to AI agents and every tool connected to DataHub

Watch the Demo

More Demos

View All Demos

DEMO09.02.26

SME Feedback in Claude for Continuously Trusted Context

See how DataHub Cloud enables subject matter experts to correct outdated context directly inside Claude and watch the fix automatically route to the right domain owner, update the context layer, and propagate everywhere.

DEMO09.02.26

Context Hub: Where Expert Knowledge Becomes Agent-Ready Context

See how DataHub Cloud's Context Hub gives domain experts a workspace to review AI-proposed context, resolve conflicting definitions, simulate the impact on text-to-SQL results, and publish with confidence.

DEMO09.02.26

How DataHub Cloud Generates a Semantic Index from Enterprise Query History

See how DataHub Cloud's Context Intelligence mines years of enterprise query history to generate a semantic index with no manual semantic modeling required. Watch coverage go from near zero to production-ready in minutes.