In loss reserving, actuaries are concerned with estimating liabilities from current and future, yet to be reported, claims. In this session, we first provide an overview of the loss reserving problem and current techniques. We then frame the loss reserving problem as a predictive modeling problem, and propose a deep learning approach to solve it. We benchmark the model against existing techniques, then discuss applications of deep learning to other problems in actuarial science and insurance.