AWS Clean Rooms ML lets companies securely collaborate on AI

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Amazon’s launching (in preview) a privacy-preserving service that lets AWS customers deploy “lookalike” AI models trained for one-off company-company collaborations. Called Clean Rooms ML — an offshoot of AWS’ existing Clean Rooms product — the service removes the need for AWS customers to share proprietary data with their outside partners to build, train and deploy […]

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Amazon’s launching (in preview) a privacy-preserving service that lets AWS customers deploy “lookalike” AI models trained for one-off company-company collaborations. Called Clean Rooms ML — an offshoot of AWS’ existing Clean Rooms product — the service removes the need for AWS customers to share proprietary data with their outside partners to build, train and deploy
© 2023 TechCrunch. All rights reserved. For personal use only.  

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AWS Clean Rooms ML lets companies securely collaborate on AI

 ​

Amazon’s launching (in preview) a privacy-preserving service that lets AWS customers deploy “lookalike” AI models trained for one-off company-company collaborations. Called Clean Rooms ML — an offshoot of AWS’ existing Clean Rooms product — the service removes the need for AWS customers to share proprietary data with their outside partners to build, train and deploy […]

© 2023 TechCrunch. All rights reserved. For personal use only.

Amazon’s launching (in preview) a privacy-preserving service that lets AWS customers deploy “lookalike” AI models trained for one-off company-company collaborations. Called Clean Rooms ML — an offshoot of AWS’ existing Clean Rooms product — the service removes the need for AWS customers to share proprietary data with their outside partners to build, train and deploy
© 2023 TechCrunch. All rights reserved. For personal use only.  

Disclaimer

We strive to uphold the highest ethical standards in all of our reporting and coverage. We StartupNews.fyi want to be transparent with our readers about any potential conflicts of interest that may arise in our work. It’s possible that some of the investors we feature may have connections to other businesses, including competitors or companies we write about. However, we want to assure our readers that this will not have any impact on the integrity or impartiality of our reporting. We are committed to delivering accurate, unbiased news and information to our audience, and we will continue to uphold our ethics and principles in all of our work. Thank you for your trust and support.

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