Amazon SageMaker has integrated model cards with its Model Registry platform.
Model cards provide a documented and standardised way to share model metadata.
The integration gives architects, data scientists, and platform engineers the ability to register early versions and associate key metadata with them.
Amazon SageMaker allows the governance of model development to be addressed in one place by consolidating model workflows.
The unification of SageMaker Model Cards and SageMaker Model Registry makes it scalable, transparent, and easy to manage the governance information for the specific model versions.
To address challenges with model governance, Amazon SageMaker has introduced a unified model governance architecture that supports the ethical, legal and efficient use of ML systems.
Architecture tools and components required for orchestrating the solution workflow are defined.
Examples of integrating a model version in the model registry with model cards are provided.
This solution helps organisations comply with regulations, manage risks and maintain operational efficiency through robust model lifecycles and data quality management.
The unified model governance architecture supports businesses in their strategic goals to maximize ML initiatives value and impact.