AI-Native: Ask Us Anything
A live demo of autonomous data products, plus your questions, answered
Every week, data and AI leaders ask us the same big questions. How do autonomous data products actually work? How do they give agents trusted context without another round of pipelines? And how do they fit alongside the lakehouse, catalog and governance tools we already have?
In this live session, Zhamak Dehghani and Bill Graham will walk through Nextdata from end to end. Then they’ll take on the questions we hear most often, and finish with an open ask-me-anything.
The demo: See how autonomous data products package data, semantics, policy and quality into one self-governing unit. Watch them connect to the sources you already have, keep their promises at runtime, and serve trusted context to people and AI agents across domains.
The questions we get asked most:
How is an autonomous data product different from a table, a pipeline or a catalog entry?
Do we have to replace our existing data stack?
How do governance, access control and data quality hold up when data is decentralized?
How do agents find and use the right data across domains?
What does it take to get started, and how fast can we see value?
Ask me anything: Bring your own questions about architecture, adoption, the economics of AI-native data, or what’s next. Nothing is off the table, and the founder of data mesh will be in the room.
Who should attend: Data and AI leaders, platform and data engineering teams, and anyone deciding how to make their data ready for AI.
Come see it, question it, and leave knowing what AI-native data looks like in practice. Stay to the end for an early hint of what we’re revealing on December 9.
See you there!