Experience building together
Collaborate with others on Snowflake’s agentic AI products to solve a data-team problem. Learn from how your teammates approach the work.
September 28, 2026 · Bay Area
A practical mini-hackathon.
Bring a real data-team problem. Work with others to learn how to use Snowflake’s agentic AI products to find, access and govern data—and build something that adds value to your team.
The September 28 outcome
Collaborate with others on Snowflake’s agentic AI products to solve a data-team problem. Learn from how your teammates approach the work.
Build and run something useful. No problem is too small if solving it adds value to a team or the company.
Show what you got running, explain the value it creates and share what you learned along the way.
Start with your work: find the right data, access it appropriately and govern how it is used. Explore documentation, data quality, lineage, discovery, pipelines or another task you care about with AI agents.
For discussion with Snowflake
A starting point for choosing what teams will use on September 28. The product selection, walkthrough and account setup are to be agreed with Snowflake.
Build
An AI coding agent to help build data workflows and agents.
Formerly Cortex Code.
Connect data & tools
Build agents that work with governed data and choose tools to answer questions or carry out tasks.
Use & explore
A conversational application for working with enterprise data agents.
September 28 · 5–8 PM
Meet collaborators and choose a data-team task to explore.
Introduce the challenge, the Snowflake platform and how memory can support AI agents.
Ninety minutes to collaborate on a data-team problem, build with the products and get something running.
Record a three-minute demo: the value created, your use of the tools and what actually runs. Share highlights and feedback. Wrap up at 8 PM.
Bring: a laptop and a data-team task you’d like to explore with AI agents. Snowflake account setup will be shared before the session. Work with public, synthetic or approved sample data you can share with your team.
Three criteria
No problem is too small. Show why it matters and how far you got.
Does it add value to a team?
Show who benefits and what gets better for them or the company.
Are you using the tools in new ways?
Explain what you tried and why that approach is useful.
How much did you actually build and get running?
Demonstrate what works and be clear about what remains.
For Snowflake review
Help make this a useful working session for the Bay Area community.
Lead sponsor · Agentic AI platform
Learn how to use Snowflake’s agentic AI products with governed data. The session will give teams a practical starting point for finding, accessing and governing data with agents.
Coordinate the product walkthrough, account setup, participant credits and technical support for the evening.
Memory contribution
Memory for AI agents, with Dave Nielsen supporting teams as they retain and reuse useful context across tasks.
Explore what to remember, who can reuse it and how it stays current as source information changes.
The working example and session support are to be agreed.
Make the evening work
Coordinate venue logistics, refreshments and promotion for an evening planned around 75 attendees.
Snowflake leads the session. Account setup, credits, the memory example and event logistics remain to be agreed.