○ テーマ： Machine Learning and Its Applicability to Insurance
Machine Learning and Its Applicability to Insurance
Predictive Modeling has become a well established practice in insurance industry. Predictive modelers, actuaries or advanced analytics professionals have used Generalized Linear Models (GLM) and Data Mining techniques and achieved significant improvement on profitability and expense management. In recent years, a new term "Machine Learning" became more and more popular on CAS seminars and meetings. What exactly is "Machine Learning"? Are they as useful as GLM? How can they benefit insurance analytics professionals and actuaries? Will regulators accept them? The presenter provides an overview of the exciting and rapidly developing machine learning methods and discuss their applications in various aspects of insurance operation.