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AWS Clean Rooms launches new capabilities for entity resolution, ML modeling, privacy, and analysis controls

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This article announces four new enhancements to AWS Clean Rooms: 1) the general availability of AWS Entity Resolution for improved data matching, 2) additional privacy controls for data analyses, 3) the ability to configure which collaborators receive analysis results, and 4) the ability to generate seed data for lookalike modeling using SQL.

Specifically, the article covers:

  • Integration of AWS Entity Resolution for rule-based or data service provider-based matching of customer records
  • Option to disallow specific output columns from custom SQL data analyses for increased data protection
  • Option to choose which collaborator receives analysis results
  • Ability to use SQL queries as seed data source for lookalike modeling in AWS Clean Rooms ML
  • These enhancements aim to improve data matching and provide more control and flexibility for data collaborations
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