Bring a real problem. Build something useful. Show what works.
Our September 28 AI Agents for Data Teams mini-hackathon at Silicon Valley AI Hub explored practical questions: investigating conflicting revenue figures with Snowflake Cortex, using CoCo to explore SQL performance improvements while preserving results, and making context visible with Cognee.
I’ve published a photo report with the projects shown and my lessons for the next session:
https://milbird.com/field-notes/ai-agents-data-teams-september-28/
Thank you to Dave, our presenters, and everyone who joined in or helped someone else move forward. Next time, we’ll aim to make setup easier, help groups form, and protect more time for building.
What data-team problem would you bring to a future lab? If you presented, please share your project link and a short description so we can give your work proper credit.
— John