IBM and Amazon Web Services plan to integrate IBM watsonx.governance and Amazon SageMaker -- a service to build, train, and deploy machine learning (ML) and generative AI models with fully managed infrastructure, tools, and workflows -- to help Amazon SageMaker and watsonx customers manage model risk and support compliance obligations in connection with recent regulatory requirements such as the EU AI Act. This integration rounds out the availability of the watsonx platform in AWS Marketplace, which already includes IBM watsonx.ai and watsonx.data as customer managed offerings.
"IBM's open AI and hybrid cloud strategy is critical to helping businesses get value from AI, with their own trusted data, no matter what technology they use or where they're using it," said Ritika Gunnar, General Manager, Product Management, Data and AI, IBM. "Watsonx.governance enables them to manage and govern their AI solutions in an automated way, with the ability to customize solutions to their unique needs as they bring on more AI capability and respond to evolving AI regulations around the world. Our expanded relationship with AWS combines IBM's leading AI governance with Amazon SageMaker, offering customers flexibility, scalability, and integration with other AWS services."
Available in June, watsonx.governance and Amazon SageMaker will help clients streamline workflows, accelerate time to market for AI initiatives, and manage AI across complex IT environments and ecosystems. They will be able to configure and track fully customizable risk assessment and model approval workflows across multiple stakeholders, providing an audit trail in both watsonx and Amazon SageMaker.
Read the full press release.
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