Optimize AI governance with Amazon SageMaker and IBM watsonx.governance
IBM and Red Hat Blog
This article discusses the integration between IBM watsonx.governance and Amazon SageMaker for AI governance, which enables organizations to manage AI/ML model risk, governance, and compliance throughout the model lifecycle.
Specifically, the article covers:
- An overview of the integrated offering combining IBM watsonx.governance and Amazon SageMaker for AI governance
- Key capabilities including model risk governance, operational risk management, and regulatory change management
- The integration workflow allowing customers to publish Amazon SageMaker models to IBM watsonx.governance for risk assessment and approval
- Dashboards and reports for visualizing AI/ML model metrics, risk levels, and use cases
- A customer example of GigaSpaces Technologies using the solution for their eRAG enterprise data platform
- Conclusion highlighting the benefits of the integrated solution for responsible AI development and compliance
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