Agentic AI in Action — Part 21 - Where Agents Meet Data Foundations

Where Agents Meet Data Foundations In the early days of analytics and AI projects, especially proofs of concept, data rarely lived where it should. We passed around CSV files, Excel sheets, and one-off extracts. Models were trained offline and insights were generated in isolation. It worked for s, but it was never how production systems were meant to operate. Those days are largely behind us. In modern enterprises, data is cleansed, governed, and continuously available inside databases and warehouses. Pipelines are stable. Schemas are standardized. Metrics are well defined.