Jimmy Fan, Head of Engineering at CryptoNumerics. Roberto Cervantes, Head of Marketing at CryptoNumerics
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.
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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