Healthcare companies stand as stewards of some of the most sensitive data today: patient outcomes, claims data, genomic information and more. This on-demand webinar covers a mathematically rigorous technology for supporting machine learning and AI development, while protecting sensitive data: differential privacy. This talk outlines the common problems to overcome in successfully protecting data privacy, why existing techniques are fundamentally flawed, and how differential privacy achieves data privacy while unlocking the underlying data value.
In this webinar you will learn:
Watch now to discover how differential privacy is the answer for maximizing data utility and data privacy within the healthcare industry.
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