Databricks buried its biggest announcement under three flashier ones. Ashley makes the case for why Reyden - not Omnigent, not Genie Ontology - is the one that could actually dent Power BI.

Marketing tools have always meant copying your customer data somewhere else. CustomerLake puts the CDP inside the Lakehouse instead. Tom breaks down what that architectural shift actually unlocks — and where it gets genuinely useful.

1 billion new apps by 2028, built mostly by people who've never called themselves developers. Ashley looks at App Spaces, Serverless Micro Apps and Genie App Builder - the three tools Databricks is betting on to stop that going wrong.

Databricks AI/BI is ready to be a legitimate challenger in the Data Visualisation space. Starting from basics, I'm going to show you how you can use Metric Views, AI/BI dashboards and Genie spaces to get the most out of your data.

This session will cover how to build a full writeback loop where lakehouse (Unity Catalog) syncs to PostgreSQL (Lakebase). By the end, you'll know how to build bi-directional data flows that empower users without sacrificing governance or reliability.

Genie could already answer questions about your data. Genie Agents wants to run the workflow that comes after the answer. Toyosi untangles it from Agent Mode and Agent Bricks, and works out who actually needs it.

DAIS marks a clear turning point for Unity AI Gateway. With the core platform now GA, Databricks has moved the conversation from whether you can govern AI to how precisely you can do it. Tori deep dives into Unity AI Gateway in this blog.