Databricks’ new tools signal a shift from AI demos to production-scale deployment - anchoring agentic AI in governance, observability, and enterprise control.

Ali Ghodsi, CEO of Databricks, said people underestimate how difficult it is to fully automate tasks and take humans out of the loop.

Today Databricks unveiled Agent Bricks, a unified workspace that automates agent building and optimization using customers’ enterprise data and synthetic equivalents.

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Agent Bricks uses technology developed by MosaicML’s research division to optimize the agent development process and help control the cost of running agents.

"Agent Bricks is a whole new way of building and deploying AI agents that can reason on your data," said Ali Ghodsi, CEO and Co-founder of Databricks.

SAN FRANCISCO, June 11, 2025 /PRNewswire/ -- Data + AI Summit -- Databricks, the Data and AI company, today introduced Agent Bricks, a new, automated way to create high-performing AI agents ...

Databricks lays building blocks for AI enablement US$62b data and AI company attracted one of the world’s largest ever venture capital rounds earlier this year, and could IPO soon.

Manufacturers can benefit from moving beyond traditional system integration projects and toward main automation partner relationships to align every automation project with overarching business goals ...

Researchers at the University of Tokyo developed a framework to enable decentralized artificial intelligence-based building automation with a focus on privacy. The system enables AI-powered ...

Building on the success of its initial support for Databricks' AI Security Framework, AppSOC now offers enhanced capabilities for DASF 2.0. These include: ...

For AI in particular, this process hinges on the precision and expertise of data engineering – a discipline that lays the foundation for accurate, meaningful assessments of AI accuracy and ...