Federated analytics, a new approach to analyzing big data, balances privacy, autonomy, IP protection and supports unprecedented collaboration across large distributed datasets that contain proprietary and/or protected information. Gilad Olswang explains how Intel harnesses the power of federated analytics in the Collaborative Cancer Cloud project, which leverages a new federated analytics platform to deliver secure, scalable, and accelerated analytics across multiple locations for collaborative cancer research. Gilad explores how multiple institutions can now collaboratively analyze their large genomics and patient datasets while preserving their intellectual property and the privacy of patient data.
Gilad Olswang leads the healthcare initiatives in the big data organization at Intel. Within this role, he manages large programs that span from wearable data for cardiologic research to genomics and imaging analysis for cancer research. Prior to this role, Gilad led multiple teams in Intel focusing big data analytics and machine learning targeted at optimizing and accelerating internal R&D.
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