In this video we discuss the new capabilities coming to watsonx.governance as a Service on AWS. We talk about updates to the risk and compliance worklows, as well as the new capabilities for data scientists and technical users, including automated AI metadata capture, runtime evaluation and monitoring, red teaming, comparative evaluation and content moderation. These capabilities can be used to govern AI anywhere, including Amazon SageMaker models.
Learn more at:
https://go.aws/42NACV2
https://go.aws/432k5ew
https://go.aws/3Yvamfx
Subscribe to AWS: https://go.aws/subscribe
Sign up for AWS: https://go.aws/signup
AWS free tier: https://go.aws/free
Explore more: https://go.aws/more
Contact AWS: https://go.aws/contact
Next steps:
Explore on AWS in Analyst Research: https://go.aws/reports
Discover, deploy, and manage software that runs on AWS: https://go.aws/marketplace
Join the AWS Partner Network: https://go.aws/partners
Learn more on how Amazon builds and operates software: https://go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—use AWS to be more agile, lower costs, and innovate faster.
#AWS #AmazonWebServices "#WatsonxGov #AIGovernance #ModelManagement #AIMonitoring #AmazonSageMaker #IBMonAWS #CloudComputing
