The Modern Data Company details AI-ready data requirements

The author argues that AI-ready data must be trusted, timely, semantically consistent, and machine-accessible to prevent AI agents from amplifying errors at scale. Organizations that structure their data as products with built-in schemas, governance, and semantic definitions gain a compounding advantage, allowing agents to reliably discover and use data via the Model Context Protocol without custom integrations. Open article →