Machine Learning in Healthcare: Interoperability via Machine-to-Machine Data Architecture

Jim Nasr is Vice President of Technology and Innovation at Synchrogenix where he spearheads strategy and implementation of emerging technologies such as large scale blockchain and machine learning in healthcare and the life sciences. He previously served as Chief Software Architect for the CDC, the Centers for Disease Control and Prevention. In this episode Jim walks us through the critical requirements of data interoperability and how designing for machine to machine data transfer is the most critical of architectural decisions. Hosted on Acast. See acast.com/privacy for more information.

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This episode was published on January 22, 2019.

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