This webcast will explore the use of predictive models and how to employ selected analytic techniques to solve business problems. Big data and predictive models have revolutionized fields as diverse as self-driving cars and the search for new pharmaceutical cures. But these same ideas can be adapted and used to solve traditional problems of estimation and risk control in insurance. Actuaries can build better models and be on the cutting edge of the ‘insurtech’ revolution by becoming familiar with the ideas and models of data science as well as how to apply them properly. Mastering the tools and techniques of data science requires a broad understanding of mathematics, statistical ideas, and computer science. This discussion will introduce the fundamental ideas of machine learning and components of the models, explain how to develop expertise in this area as an actuary, and illustrate several important actuarial applications.