This guide explains data governance for AI, outlining the five essential pillars—data quality, stewardship, privacy and security, architecture and metadata, and policies and standards. It also explores how Master Data Management (MDM) operationalizes governance to support secure, compliant, and scalable AI across regulated industries.
