Learn how to use the Amazon SageMaker and Amazon DataZone integration to streamline machine learning (ML) governance across your infrastructure, user permissions and assets. See a demo of how to use the integration capabilities for applying ML governance for a sample scenario - automating loan application process with ML models to improve customer experience.
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ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #datagovernance #awsanalytics #mlgovernance #sagemaker
Learn more at: https://go.aws/3PE81dK
Subscribe:
More AWS videos: https://go.aws/3m5yEMW
More AWS events videos: https://go.aws/3ZHq4BK
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb
ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
#AWS #AmazonWebServices #CloudComputing #datagovernance #awsanalytics #mlgovernance #sagemaker
- Category
- Amazon Web Services
- Tags
- AWS, Amazon Web Services, Cloud

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