Fueled by healthcare’s data deluge, enthusiasm for machine learning and artificial intelligence is on the rise as providers recognize the need for automated and analytic tools for managing patients more effectively.

As data-driven healthcare organizations look to invest in machine learning projects to detect patterns and gain deeper visibility into their patient populations, they must ensure they have the right infrastructure and resources in place to maximize ROI.

Our CTO Daniel Cidon examines how providers can make the most of their machine learning projects to yield actionable data insights and overcome the complexity of their disparate IT environments.

Read the complete article in Becker’s Health IT & CIO Report.