Proliferation of electronic medical records caused a revolution in the previously slow-moving healthcare IT space. Possession of large volumes of patient data and scientific knowledge in medicine leads to new opportunities in analytics - from patient safety to predictive modeling to intelligent management of payment models. Walls between multiple data types in healthcare - life sciences, provider care, medical device engineering - have come down to pave the way for new border-crossing technologies taking advantage of the wealth of data. However, data overload and abundance of computer modeling algorithms pose their challenges. This presentation introduces the audience to this new world of opportunities and challenges for AI in medicine.