Uncovering a privacy-preserving approach to machine learning

In the era of data-driven decision making, businesses are harnessing the power of machine learning (ML) to unlock valuable insights, gain operational efficiencies, and solidify competitive advantage. Although recent developments in generative artificial intelligence (AI) have raised unprecedented awareness around the power of AI/ML, they have also illuminated the foundational need for privacy and security. Groups like IAPP, Brookings, and Gartner’s recent AI TRiSM framework have outlined key considerations for organizations looking to achieve the … More →

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