Databricks highlights the importance of moving AI agents directly to enterprise data rather than bringing data to the agents. This approach improves security, efficiency, and scalability for AI deployments. It enables more effective and compliant use of large language models in business contexts.
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Enterprise AI agents break down when data leaves governed systems.
Most enterprise AI pilots clear the same low bar: connect an LLM to your data, drop in a vector database, demo it to leadership.
