Enterprise AI depends on more than powerful models. It needs a consistent understanding of what business data means.
In his InfoWorld article, “Why enterprise AI needs unified metadata infrastructure,” MetaKarta founder and CEO Christian Bremeau examines metadata’s evolution from documentation to an operational foundation for AI.
When definitions of revenue, customers, or risk differ across systems, AI can carry those inconsistencies into automated decisions. Bremeau argues that enterprises need a shared metadata foundation connecting cataloging, lineage, governance, and business definitions.
That foundation must also work across vendors and platforms, allowing organizations to retain ownership of their business meaning as their technology changes.
The article introduces MetadataOps as an engineering discipline for managing business definitions with version control, testing, and deployment practices. For enterprises scaling AI, the implication is clear: business context needs the same rigor as other production infrastructure.
Read the full article on InfoWorld.