Tons of AI this week

• We're teaching Blobby to model. Now you can build topics on the fly in AI, add relationships, or just generally do whatever you need from a modeling standpoint. Amazing for getting started or just supplementing the current model.

• Blobby now knows *you* - great for lots of analyses (show me my pipeline, my customers, my usage, etc). This also means you can use mustache dynamically in AI context to pass user-specific information.

• We're teaching Blobby more skills. Soon Blobby will be able to edit the fullness of the visualization spec - add labels, change axes, chart types, colors - anything you can do in the UI. Bit more to do here, but no more UI for building unless you want it.

• We're playing around with new techniques to improve the AI experience. Here we use Snowflake Cortex to build a fuzzy search index for easier topical lookups. This would open up more natural filtering behaviors for lots of use cases (like support tickets in the demo).

Now you can create completely dynamic groups even based on associated metrics (ie. top 10 by count + other).

For many use cases you want complete review on dashboard changes. Now you can enforce branch-based changes through git for specific dashboards.

Our first demo of running queries in Azure. More work to do but Omni is going multi-cloud.

More Azure progress, this time on the renderer.

Continuing all the progress on dashboard containers, we go through an end-to-end example of a complex dashboard layout.

Tuning up the experience vis-a-vis workbook models and topic scoped models to give you all the control you need.

Spending a bit of time buffing out a rough edge around removing ignore in branches.

A demo of some new internal tooling to help solutions engineers understand how we talk about different topics in the field.