Amazon Web Services776 тыс
Опубликовано 13 ноября 2024, 22:11
AWS Clean Rooms ML helps you and your partners apply privacy-enhancing controls to safeguard your proprietary data and ML models while generating predictive insights, without sharing underlying data or models with each other.
With AWS Clean Rooms ML custom modeling, you and your partners can bring a custom ML model for training and inference using first-party data and algorithms to apply ML predictions at scale without having to share sensitive intellectual property. You can also use an AWS-authored lookalike model and invite your partners to bring a small sample of their records to a collaboration to generate an expanded set of similar records while protecting your and your partners' underlying data.
Learn more about AWS Clean Room ML: go.aws/48OIgQ6
Subscribe to AWS: go.aws/subscribe
Sign up for AWS: go.aws/signup
AWS free tier: go.aws/free
Explore more: go.aws/more
Contact AWS: go.aws/contact
Next steps:
Explore on AWS in Analyst Research: go.aws/reports
Discover, deploy, and manage software that runs on AWS: go.aws/marketplace
Join the AWS Partner Network: go.aws/partners
Learn more on how Amazon builds and operates software: go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: 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.
#MachineLearning #ML #CleanRooms #Privacy #CloudSecurity #AWS #AmazonWebServices #CloudComputing
With AWS Clean Rooms ML custom modeling, you and your partners can bring a custom ML model for training and inference using first-party data and algorithms to apply ML predictions at scale without having to share sensitive intellectual property. You can also use an AWS-authored lookalike model and invite your partners to bring a small sample of their records to a collaboration to generate an expanded set of similar records while protecting your and your partners' underlying data.
Learn more about AWS Clean Room ML: go.aws/48OIgQ6
Subscribe to AWS: go.aws/subscribe
Sign up for AWS: go.aws/signup
AWS free tier: go.aws/free
Explore more: go.aws/more
Contact AWS: go.aws/contact
Next steps:
Explore on AWS in Analyst Research: go.aws/reports
Discover, deploy, and manage software that runs on AWS: go.aws/marketplace
Join the AWS Partner Network: go.aws/partners
Learn more on how Amazon builds and operates software: go.aws/library
Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: 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.
#MachineLearning #ML #CleanRooms #Privacy #CloudSecurity #AWS #AmazonWebServices #CloudComputing