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Today, AWS announces the general availability of AWS Clean Rooms ML, which helps companies apply machine learning (ML) to generate predictive insights in a data collaboration without sharing their raw data with their partners. This capability launches with an ML model that helps companies create lookalike segments. With AWS Clean Rooms ML lookalike modeling, you can train your own custom model using your data 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 the underlying data with purpose-built privacy controls. AWS Clean Rooms ML enables collaborative ML use cases including those for healthcare, financial services, and travel and hospitality. View the full article
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