AWS Clean Rooms ML helps you and your partners apply privacy-enhancing machine learning (ML) to generate predictive insights without having to share raw data with each other. The capability's first model is specialized to help 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 you and your partners' underlying data. Healthcare modeling will be available in the coming months.
Benefits of AWS Clean Rooms ML
Remove the need to share data with your partners to build, train, and deploy ML models
Apply AWS built models that are custom-trained for each data collaboration
Save months of development time using a ready-to-deploy ML lookalike model in a few steps
Use intuitive controls that make it easier to tune model outputs based on your needs
Develop travel offers with partners
Airlines can take data about loyal customers, collaborate with online booking services, and offer promotions to users with similar characteristics.
Find car insurance prospects
Auto lenders and insurers can identify prospective auto insurance customers who share characteristics with a set of existing lease owners.
Determine lookalike segments for marketing
Brands and publishers can model lookalike segments of in-market customers and deliver highly relevant advertising experiences.
Accelerate pharmaceutical research
Research institutions and hospital networks can find candidates who are similar to existing clinical trial participants to accelerate clinical studies (coming soon).