Description: Underwriting is one of several areas in the insurance industry being impacted by insurtech. In this session, we will hear from experienced experts in underwriting transformation. Digitization, machine learning and other approaches are among topics to be discussed.

Description: This web page contains links to the following articles of interest to actuaries: 1. A July 9, 2011 New York Times editorial about recent studies suggesting that antidepressants aren’t effective after all, and 2. A March 10, 2011 Time Magazine article by Joel Stein titled, 'Data Mining: How Companies Now Know Everything About You.'

Description: Cognitive tests used in the long-term care insurance industry differ in cognitive domains tested, time required for testing, ease of test administration, sensitivity and specificity. Recently, new approaches to scoring or testing have improved test utility for screening for cognitive impairment.

Description: Many executives are talking about predictive analytics uses in health insurance.

Description: This article introduces SymPy, a computer algebra system (CAS) for the Python programming language.

Description: This is the third and final article in a series on the Power BI suite of tools available from Microsoft. A high level look at its analytical capabilities.

Description: Explores the open vs. closed systems debate with regards to actuarial modeling and exposes the over-simplification. Valuable for anyone who uses models.

Description: Discusses the graphics capabilities of the computer language R.

Description: Discusses ways to minimize errors in Excel spreadsheets used for risk modeling.

Description: This article discusses the management and testing of spreadsheets.