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Delivering relevant ads to consumers and understanding return on advertising spend historically involved sharing data in ways that posed privacy risks, but AWS Clean Rooms enables organizations to generate insights with their partners without sharing underlying data. In this chalk talk, learn how to use AWS Clean Rooms ML to train models and run inference for use cases such as lookalike modeling. Discover how to apply the privacy-enhancing controls in AWS Clean Rooms ML to mitigate privacy and confidentiality risks in your multiparty ML workflows.