AWS is planning to update its collaborative data-sharing service, dubbed AWS Clean Rooms, with machine learning capabilities.
The new machine learning capabilities will allow enterprises and their partners to apply machine learning to shared or collective datasets to generate predictive insights without having to share raw data with each other, the company said.
This is achieved by creating lookalike segments of data, which is similar to the original raw dataset.
“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 partner’s underlying data,” Swami Sivasubramanian, vice president of data and AI at AWS, said during his keynote address at AWS re:Invent.
