Most data teams have already made two decisions, even if they haven't written them down yet. The first is that Apache Iceberg will be the table format their analytical data lives in. The second is that AI agents will be querying that data, not just dashboards and analysts. The Apache Iceberg lakehouse and agentic analytics aren't separate initiatives. They're two halves of the same architecture, and the teams that treat them that way will get to trusted AI years ahead of the teams that don't.
Here's the problem. The path between "we run a warehouse and some databases" and "agents answer business questions against governed Iceberg tables" is full of blockers. Migration risk. Table maintenance. Semantic context for AI. Mountains of unstructured documents. Most vendors solve one of these and leave you to stitch together the rest from three or four other products.
Dremio is built to take you through all four. Its federated query engine lets you start before you migrate anything. Its autonomous management runs the Iceberg lakehouse for you. Its AI Semantic Layer, built-in AI Agent, MCP server, and CLI give agents governed access with real business meaning. And its AI Functions turn PDFs sitting in object storage into Iceberg tables with a single SQL statement.
