Machine learning and other advanced analytic approaches have been used in the financial services industry for many years to solve a wide variety of problems; however, the use of these techniques in regulated industries create unique challenges to provide the necessary transparency and interpretability to meet validation expectations. This presentation will discuss how the use of machine learning can be used to solve different decision problems and regulatory demands.