MetadataOps approach urged for enterprise AI

The author argues that enterprise AI requires a shift in metadata from passive documentation to active operational infrastructure. Fragmented metadata tools create semantic inconsistencies that AI scales rapidly, producing confidently wrong answers. To solve this, enterprises must adopt vendor-neutral metadata architectures and apply engineering discipline to business definitions through a practice called MetadataOps. Open article →