Description: Modeling experience sharing by David Yu who leads the retirement product and asset model development team within Prudential Financial

Description: Three simple actions to take right now at your workplace in the absence of company-sponsored learning and development programs.

Description: Read the March 2017 issue of Risk Management published by the Joint Risk Management Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Hear from the editor’s on the March 2017 issue of Risk Management published by the JRMS.

Description: Optimization of the liabilities to minimize the required capital, enhance the enterprise risk management and maximizing the shareholder value.

Description: In this article, we will overview some popular tree-based models and understand how such models may be applied to the insurance industry.

Description: In An Introduction to Incremental Learning, by Qiang Wu and I describe how machine learning is a natural enhancement to predictive analytics through its many useful tools to derive meaning from a lot of otherwise unusable data such as handwriting. Again, there are formulas involved; but we have tried to keep them understandable to the actuary who isn’t already familiar with stochastic gradient descent, perceptrons, and principal component analysis. Incremental learning can help you refine the estimations you derive from more traditional actuarial methods.

Description: The article introduces the concept of overfitting in predictive modeling and illustrates how it hinders our ability to predict new data well.

Description: This article discusses techniques used to create risk scores to help determine appropriate primary care panel sizes for a provider organization.

Description: Overview of design thinking problem solving method and applications to life insurance