Amazon SageMaker now integrates with Amazon DataZone to streamline machine learning governance

The article discusses the new integration between Amazon SageMaker and Amazon DataZone to streamline machine learning (ML) governance across infrastructure, data, and ML assets.

Specifically, the article covers:

• Overview of the integration between SageMaker and Amazon DataZone, enabling project management, infrastructure management, and asset governance
• Setting up an Amazon DataZone domain, project, and SageMaker environment with security controls
• Asset management in SageMaker Studio, including search, discovery, subscription, consumption, and publishing of data and ML assets
• Examples of consuming subscribed data and ML assets in SageMaker Canvas and JupyterLab notebooks
• Conclusion highlighting the benefits of streamlining ML governance with this integration