Enterprise AI Needs 1 Unified Metadata Layer for Governed Business Definitions
Updated
Updated · InfoWorld · Nov 5
Enterprise AI Needs 1 Unified Metadata Layer for Governed Business Definitions
3 articles · Updated · InfoWorld · Nov 5
Summary
Fragmented business definitions are emerging as the main failure point for enterprise AI, because models act on whichever metric or customer definition they find first and can return confident but wrong answers.
20 years of metadata tooling largely documented data rather than enforced meaning, leaving catalogs, lineage, governance and semantic layers on separate foundations that drift from the logic applications actually execute.
Multi-cloud and multi-vendor stacks make that drift harder to control, pushing enterprises toward a vendor-neutral metadata architecture so definitions, ownership, version history and lineage travel consistently across platforms.
Over the next 5 years, metadata management is expected to shift from discovery to execution, with business definitions version-controlled, tested before deployment and managed through a new MetadataOps discipline.