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  • How to reduce privacy risk by creating privacy-protected datasets
    How to reduce privacy risk by creating privacy-protected datasets
    Jimmy Fan, Head of Engineering at CryptoNumerics. Roberto Cervantes, Head of Marketing at CryptoNumerics Recorded: Mar 28 2019 41 mins
    Data-driven organizations find themselves at a crossroad. On the one hand, they require data to make decisions and grow; on the other, privacy regulations limit the amount of data that can be accessed. Fortunately, there is a way to reconcile both.

    In this webinar you will learn:

    How to measure the privacy risk of a dataset
    What are the different privacy attributes in a dataset
    How to use CN-Protect to privacy-protect a dataset that can be used for analytics

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