While the healthcare sector is being transformed by the ability to record massive amounts of information about patients, the enormous volume of data being collected is impossible for human beings to analyze. Machine learning provides a way to automatically find patterns and reason about data, which in turn enables healthcare professionals to practice personalized care. There are two things required for the successful application of machine learning in healthcare – intelligent algorithms and rich data sets. This session will share findings from a ground-breaking public-private initiative known as Precision Driven Health, which has commissioned dozens of research projects that are examining how machine learning can be applied to healthcare. By combining the digital health records of a nation with academic expertise (the statistical language R was invented at the University of Auckland) the initiative is creating data-driven healthcare solutions that will benefit global healthcare.