LIVE SESSIONSEPT 10 · 11 AM ET
Can AI Really Document my Data Estate?
Traditional wisdom says AI-enriched metadata can't survive a domain expert's review. Zhenni Hu's team at Mastercard proved otherwise, with 30,000+ assets enriched and 6,000+ hours saved.
THE SESSIONThe Premise The Build The Outcome
What you'll take away
Forty-five minutes on what it actually took to get AI-generated documentation past the people who own the data.
Mastercard's approach
Why a controlled scope came first, how Zhenni brought her governance stakeholders along, and what it looks like to shift a team from writing documentation to reviewing it.What changes for the team
For the business: a data estate that AI agents can actually use. For the team: a shift from documentation work to the judgment work only they can do, and what that role becomes on the other side.Meet the Speakers
Zhenni Hu
Manager, Data Management
Zhenni leads data management at Mastercard, where her team put AI-generated documentation in front of domain experts and made it stick. She works at the intersection of governance policy and the day-to-day reality of a large, regulated data estate.
Nandini Tyagi
Strategic Initiatives Lead
Nandini leads strategic initiatives at Atlan, partnering with data leaders on how AI changes the economics of metadata. She'll unpack what separates enrichment teams trust from enrichment they quietly ignore.
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Context in Practice
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Context in Practice is a live series — real teams sharing how they're shipping AI-generated context inside regulated enterprises. Drop your email to get notified when the next session goes live.
