MLflow and SageMaker AI Model Registry now sync—here's how to govern your models
Amazon SageMaker AI's managed MLflow now pushes richer model metadata (training metrics, evaluation results, inference specs, and lineage) straight into the SageMaker AI Model Registry with lifecycle stage promotion. Part 1 walks you through governing candidate models in a single account using IAM guardrails—perfect if you're tired of scattered model governance across your ML pipeline.
source: [aws/machine-learning-blog]