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#60 Data Privacy in the Age of COVID-19

DataFramed

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Navigating Data Privacy in the Age of COVID-19

This chapter explores the evolving landscape of data privacy amid the COVID-19 pandemic, highlighting personal insights from speakers in the field of data science. The discussion includes the challenges of data quality, governance, and the balance between utilizing data for AI services while safeguarding user privacy. Additionally, it introduces key topics such as model drift, K-Privacy, and the collaborative efforts needed to enhance security in data science.

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