Research in cutting-edge areas like machine learning continues to demonstrate that computers have the potential to predict outcomes and enhance physicians' performance in a wide range of tasks. For example, the U.S. Food and Drug Administration this year approved the first AI diagnostic -- a test for diabetic retinopathy, that produces a result without the need for human intervention. However, this is just the beginning. Healthcare stands poised for a transformation driven by AI and ML, and fueled by an abundance of data sources – electronic health records, genome sequences, mobile devices, embedded sensors, and even billing records. AI and ML solutions are already being used by thousands of companies with the goal of improving the healthcare experience.