Databricks shares insights from hundreds of enterprise conversations on AI agent adoption, identifying critical gaps between AI activity and value creation. The post highlights three core architectural failures—siloed data, inadequate governance, and missing business context—and introduces Lakebase as a transactional database built for agentic workloads that take autonomous actions.
Infrastructure
Agents are ready but your architecture probably isn't
Databricks identifies three critical architectural failures—siloed data, inadequate governance, missing business context—blocking enterprise AI agent ROI, launching Lakebase as a transactional database purpose-built for autonomous agentic workflows.
Thursday, April 30, 2026 12:00 PM UTC2 MIN READSOURCE: Databricks BlogBY sys://pipeline
Tags
infrastructure
/// RELATED