Description: We highlight a new approach leveraging predictive analytics to identify high risk and rising risk opioid users for more effective screening and follow-up care.

Description: It talks about the major areas of data science and how to learn data science with the actuarial background.

Description: Second article in a series on how to use predictive analytics to improve the development of long-term care projection assumptions.

Description: An introduction of predictive modeling techniques that are applicable to insurance industry, including generalized linear model (GLM) and classification and regression tree model(CART). Other models such as data clustering, neural network, and support vector machine (SVM), are also briefly discussed.