Data AI Weekend Schedule
(tentative - additional sessions to be added)
October 10-11 - AT&T Hotel and Conference Center
All sessions are on the first floor (M1) of the conference center.
Saturday, October 10
9:00 am
Welcome and introduction to the day - Room 105
9:30 am
Thais Cooke : How can a company measure whether AI is being used well? - Room 105
10:30 am
Juan Sequeda : Scar Tissue: Lessons from 20 Years of Building Ontologies and Knowledge Graphs - Room 105
Open room - Room 104
11:30 am
Matt Housley : Agents of Chaos - Room 105
Scott Haines : The Future of Distributed Data Systems - Room 103
Open room - Room 104
12:30 pm
Lunch
1:45 pm
Ryan Boyd : How does data infrastructure need to evolve when agents drive the queries? - Room 105
Thais Cooke : Where does AI actually belong in the workflow? - Room 103
Tim Frazer : If AI eats the junior work, how does anyone get in the long way round? - Room 104
2:45 pm
Alexandra Pasi : Culture and technology, a dynamical system: what the hell is even happening anymore? - Room 105
Matthew Mullins : Will the real semantic layer please standup - Room 103
Open room - Room 104
3:45 pm
Kierra Dotson / Karl Ivo Sokolov : Between the Strategy Deck and the Invoice: Data Platform and AI Economics for 2027 - Room 105
Tim Frazer : If AI stops us breaking things, where does judgement come from? - Room 103
Aaron Black : What is teaching and what is learning in the age of AI? - Room 104
5:00 pm
Happy Hour at Otis Hotel - rooftop bar
Courtesy of our friends at Databricks.
Sunday, October 11
9:30 am
Bill Inmon : Getting Business Value From AI : A Workshop - Room 105
Open room - Room 103
Open room - Room 104
10:30 am
Aaron Black : What does "creation" mean in the age of AI? - Room 103
Matthew Mullins : Hot take, the only data migration that makes sense is to Apache Iceberg, but what comes next after you've chosen your storage layer? - Room 104
11:50 am
Extended Lunch - off-site
Please check the Discord channel for restaurant recommendations.
1:10 pm
Alexandra Pasi : AI as Mathematician: how it works, when it doesn't, and what it means for other disciplines - Room 103
Annie Nelson : Does your reporting data layer live in 5 different tools? - Room 104
Open room - Room 107
Open room - Room 108
2:15 pm
Bill Inmon : Getting Business Value From AI : pt 2 / AMA - Room 104
Serg MasÃs : Who should own an AI agent's memory? - Room 105
Open room - Room 103
Jessica Freasier : Through the Context Glass: A Deep Dive on Principles - Room 108
3:15 pm
Meet and Greet / Booksigning with Matthew Housley - co-author of Fundamentals of Data Engineering (O'Reilly)
Grab a free book! - Outside Room 108
Open room - Room 103
Open room - Room 104
Open room - Room 105