Protecting Sensitive Data in Huge Datasets (Cloud Next '19)


Data is one of your company’s most valuable assets. Analytics and machine learning can help unlock valuable services to your customers and business. In this session, we will cover topics on how to balance data privacy with data utility to enable safer analytics at virtually any scale. This session will include real-world scenarios, hands-on examples, and demos of data classification, de-identification, and risk analysis in the context of data analytics.

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Next ’19 Data Analytics Sessions here → https://bit.ly/Next19DataAnalytics
Next ‘19 All Sessions playlist → https://bit.ly/Next19AllSessions

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Speaker(s): Scott Ellis, Felipe Hoffa, Patrick Lecuyer, Masud Hasan,

Session ID: DA302


Duration: 48:6
Publisher: Google Cloud
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