In addition to SageMaker Unified Studio, AWS launched SageMaker Catalog and SageMaker Lakehouse. The former allows admins to define and implement access policies for AI apps, models, tools, and data in SageMaker, while the latter provides connections from SageMaker to data stored in AWS data lakes, data warehouses, and enterprise apps. SageMaker Lakehouse is compatible with any tools that meet Apache Iceberg standards. AWS also announced new integrations to improve SageMaker's compatibility with software-as-a-service applications.
Key takeaways:
- At its re:Invent 2024 conference, AWS unveiled SageMaker Unified Studio, a platform that brings together tools from other AWS services to help customers discover, prepare, and process data to build models.
- SageMaker Unified Studio allows customers to publish and share data, models, apps, and other artifacts with members of their team or broader organization, with adjustable permissions and data security controls.
- AWS also launched SageMaker Catalog and SageMaker Lakehouse. The former lets admins define and implement access policies for AI apps, models, tools, and data in SageMaker, while the latter provides connections from SageMaker and other tools to data stored in AWS data lakes, data warehouses, and enterprise apps.
- SageMaker now works better with software-as-a-service applications, thanks to new integrations. Customers can access data from apps like Zendesk and SAP without having to extract, transform, and load that data first.