3 min read
‧ 3 min read
AI has made basic analysis easier than ever. Ask a question, get a chart, done.
What’s harder, and where the real value is now, is everything around it: making sure the answer is actually correct. Rolling AI out without losing control of your data. Treating what it builds as something your team actually owns, not just something that appeared.
We’re hosting three free live sessions, August 25–27, on what that shift means for the way you work with data, and how Metabase fits, wherever you’re starting from. A real look at how AI is changing analytics work, and how to make the most of it, whether you’re still figuring out if AI belongs in your stack and how to set it up, trying to roll it out confidently with governance and control, or you’re already all in on AI analytics and looking for your next project.
Before you pick a session, take two minutes to find out where your team currently stands. Take the “Is your team ready for AI analytics?” quiz — five quick questions, and we’ll point you to the sessions built for where you’re at (and show you where you land among other respondents, too).
All sessions run at 12 pm ET and will be recorded for anyone who can’t make it live.
Why your semantic layer is now one of the most valuable parts of an AI analytics stack, how to set it up, and why do it in Metabase (spoiler: for end-to-end visibility across your data and dependencies). Led by our Product Advocate, Pierina, for a hands-on look at querying data with AI in Metabase and making sure the answers you get are actually correct.
Best suited for: you’re still figuring out where AI fits in your analytics — what it can do, and how to make sure it works the way you want it to.
Control and governance for rolling out AI analytics confidently, even in regulated orgs. Led by our Product Advocate, Abed, this is the playbook for keeping AI under your control — self-host, bring your own model, zero data movement — while giving access selectively, setting token limits, and auditing everything end to end.
Best suited for: you’re security-conscious — you want to enable AI analytics, but you’re cautious about how it’s enabled and who gets to do what.
How to manage dashboards-as-code with the Metabase CLI and remote sync. Join our Developer Advocate, Matt, as he covers how to generate a dashboard from a screenshot or a plain-English prompt — built as YAML, via the CLI — plus agentic development workflows in Metabase (MCP vs. CLI). With a guest appearance from one of our Engineering Managers, Arkadi, demoing LibreChat as an example of something we built using MCP to consolidate our own AI logins.
Best suited for: you’re AI-pilled and NLQ is old news — you’re already in Claude Code, Cursor, or Codex every day, looking for what’s next.
Want to keep learning about AI Analytics? Curious to hear about best practices, success stories from your peers and what’s ahead on the Metabase product roadmap? Check out Metabase’s first IRL conference, OUTER JOIN this October. If you’re still deciding whether to attend, AI Analytics Week will give you a preview of what to expect in Denver. And to sweeten the deal, we’ll hand out a discount code for attendees of any AI Analytics Week session.
Pick your session above, or take the quiz if you’re not sure which one’s yours.
See you there.
