Automate the machine learning model approval process with Amazon SageMaker Model Registry and Amazon SageMaker Pipelines
CAT
1 min read
This post illustrates how to use common architecture principles to transition from a manual monitoring process to one that is automated. You can use these principles and existing AWS services such as Amazon SageMaker Model Registry and Amazon SageMaker Pipelines to deliver innovative solutions to your customers while maintaining compliance for your ML workloads.
Originally appeared here:
Automate the machine learning model approval process with Amazon SageMaker Model Registry and Amazon SageMaker Pipelines
