Automate the machine learning model approval process with Amazon SageMaker Model Registry and Amazon SageMaker Pipelines

This article discusses how to automate the machine learning model approval process with Amazon SageMaker Model Registry and Amazon SageMaker Pipelines.

Specifically, the article covers:

• The challenges of maintaining compliance for ML models in production and the need for automated approval processes
• An overview of the proposed solution using SageMaker Model Registry, SageMaker Pipelines, AWS Lambda, and other AWS services
• Prerequisites and steps to build and run the automated approval pipeline
• How to run the event-driven pipeline using AWS Lambda and Amazon EventBridge
• Applying the approach to generative AI models like large language models (LLMs)
• Conclusion highlighting the benefits of automating compliance checks for ML models