Amazon SageMaker now supports SageMaker Studio Personalization

We are excited to announce that Amazon SageMaker now allows admins to personalize the SageMaker Studio experience for their end-users. Admins can choose to hide applications and ML Tools from SageMaker Studio based on the end user preferences.

Starting today, admins can use the new personalization capability while setting up domains and user-profiles on SageMaker Console or using APIs, and tailor the SageMaker Studio interface. They can curate experiences by selectively showing or hiding specific ML tools, applications and IDEs for specific personas to align closely with how users interact with the platform. This improves SageMaker Studio usability and provides a more intuitive and user-friendly experience. Data scientists and ML engineers can now easily discover and select ML features required to complete their workflows, leading to a better developer productivity.

You can get started by creating or editing a domain, or a user profile in SageMaker Console or by using SageMaker APIs. This feature is available in all Amazon Web Services regions where SageMaker Studio is currently available. To learn more, visit documentation.