Unifying Data and Governance in the Agentic Era: What’s New with Azure Databricks
Azure Databricks just introduced new features to unify data and governance for AI agents. This update streamlines how organizations manage data across their AI workflows, making it easier to ensure compliance and efficiency.
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Introducing Genie ZeroOps: Put your data and AI operations on autopilot
Databricks just launched Genie ZeroOps to automate data and AI operations. This means users can streamline workflows and reduce manual intervention in managing their AI systems.
Lakeflow: A new era of agentic data engineering
Databricks just launched Lakeflow, a new platform for agentic data engineering. It enables users to automate data workflows and manage data pipelines more efficiently using AI agents.
Introducing Genie One, Genie Agents, and Genie Ontology
Databricks just launched Genie One and Genie Agents to streamline data workflows. These tools help users automate tasks and manage data more efficiently, enhancing productivity across projects.
Announcing Lakebase Search: agent-native retrieval built into Lakebase Postgres
Databricks just launched Lakebase Search, an agent-native retrieval feature integrated into Lakebase Postgres. This allows AI agents to efficiently access and retrieve data directly from the database, streamlining workflows for users.