Managing AI and ML in the Enterprise
The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, figuring out where the data science team fits in and figuring out what algorithms to buy vs. build.
Over in North Central Pennsylvania, healthcare provider Geisinger is creating artificial intelligence models that can beat trained cardiologists with years of experience. The key ingredient in being able to do this is having an electronic health record (EHR) that stretches back to the 1990s.
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