Enterprise AI adoption is being held back by fragmented, ungoverned data infrastructure. Bavesh Patel from Databricks and Rajan Padmanabhan from Infosys discuss how organizations must consolidate data into open formats, implement rigorous governance, and build unified architectures combining OLAP and OLTP systems. Key topics include Databricks' Lakebase (a serverless Postgres-based OLTP database for AI agents), Unity Catalog for data governance, a 3M measurement framework for tracking AI business value, and the governance challenges introduced by agentic AI. The conversation outlines three phases of enterprise AI maturity: individual productivity copilots, business process automation, and entirely new lines of business enabled by AI.
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