AI-powered metadata correction automates dataset standardization using two workflows: human-in-the-loop validation and autonomous agent-driven processes. The post walks through practical implementation and stresses production governance for harmonizing labels, identifiers, and formats. It gives AI developers a template for cleaning messy data pipelines at scale.
Opening Kapyn…