Databricks has introduced advancements at its user conference, focusing on agentic AI pipelines and a Postgres-powered Lakebase. The Lakebase streamlines data management and analytics by combining PostgreSQL with Databricks' data lake architecture. The agentic AI pipelines automate data workflows, allowing organizations to gain AI-driven insights with minimal manual intervention. Key features include automated workflows that reduce processing time, enhanced data management through a familiar relational database experience, and the ability to extract actionable insights using advanced AI capabilities.