Digital Forum

Master Class: Privacy and the Science of Anonymized Data

November 3, 2020

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Data-driven business models enable personalized customer experiences across virtually every industry. As the pendulum swings towards privacy-preserving data acquisition, companies are forced to reevaluate how they learn about their customers without exploiting individual and personally identifiable information. New privacy frameworks such as differential privacy are helping organizations mask identifiable information into anonymized data. In this session, you’ll learn what it takes to deliver data privacy without negatively impacting the user experience.
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