Amazon SageMaker is a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case. With Amazon SageMaker, you can build, train and deploy ML models at scale using tools like notebooks, debuggers, profilers, pipelines, MLOps, and more – all in one integrated development environment (IDE).
When you integrate AWS SageMaker AI, you integrate the metadata of ML models from Amazon SageMaker to Collibra Data Intelligence Platform. The resulting assets represent the AWS SageMaker AI ML model.
The following image shows the asset type in Collibra after the integration of AWS SageMaker AI.
You can integrate AWS SageMaker AI only via Edge, not via Jobserver.
For information about Amazon SageMaker, go to the Amazon SageMaker Documentation.