Amazon SageMaker Model Registry now supports machine learning (ML) governance information
Amazon SageMaker now integrates Model Cards into Model Registry, making it easier for customers to manage governance information for specific model versions directly in Model Registry in just a few clicks.
Today, customers register ML models in Model Registry to manage their models. Now, with this launch, they can register ML model versions early in the development lifecycle, including essential business details and technical metadata. This integration allows customers to seamlessly review and govern models across their lifecycle from a single place. By enhancing the discoverability of model governance information, this update offers customers greater visibility into the model lifecycle from experimentation and training to evaluation and deployment. This streamlined experience ensures that model governance is consistent and easily accessible throughout the development process.
This new capability is now available in all AWS regions where SageMaker is present except GovCloud regions.
To get started, see SageMaker Model Registry developer guide for additional information.