
Designing for Data Privacy: How to Continue Innovating in Data Science Amid Security Challenges
We’re collecting and leveraging more data than ever before—and privacy and security are racing to
Data privacy is a critical issue in the digital age. Data scientists are working to balance the need for data access with the need to protect sensitive information, developing new techniques for privacy-preserving data analysis, privacy-enhancing technologies, and privacy-by-design approaches.
We’re collecting and leveraging more data than ever before—and privacy and security are racing to
Dibya Mukhopadhyay Principal Data Scientist | Zuora, Inc.
Phillip Schafer Director, Data Science IronNet Cybersecurity
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