AI-powered metadata correction and harmonization
AWS demonstrates Amazon Bedrock-powered metadata harmonization workflow with human-in-the-loop validation
AWS describes a production metadata correction and harmonization system built on Amazon Bedrock that uses LLMs to automate schema alignment, field validation, and correction recommendations across disparate datasets. The workflow supports both human-in-the-loop and fully autonomous agent-driven modes, with governance controls for enterprise deployment. This is a concrete applied-AI engineering pattern for data ops teams but represents incremental adoption rather than a novel capability announcement.