Description: With seemingly unending demands on life & annuity companies for more intense and complex calculations, as well as greater sophistication around analytics, and all of this done at speed, never before has it been so important to seek out maximum efficiency in constructing models. In this session the panelists examine how the combination of various model efficiency approaches, pulling in many different facets of modeling and making it flexible enough to dial up or down various modeling components, can bring about incredible results. Not only does it become possible to produce and expand upon financial risk metrics via a building block approach, but also enables life insurers to produce analytics and dashboards to support strategic decisions that were simply not possible or cost effectively viable before.

Description: You will be reminded how to spot and avoid statistical biases and fallacies that are common to health care actuarial data and problems. We plan to explain various statistical biases and fallacies and for each show one or two examples of how they might pop up in healthcare data and what strategies can be used to avoid/account for them. Likely topics include simpson's paradox, regression to the mean, base rate fallacy, sampling bias, survivor bias, Berkson's fallacy, and others.

Description: Meet the authors of and learn about the contributors to the newly published e-book "Design Your Future with the Competency Framework." Presenters will share their personal reflections, stories and words of wisdom to bring to life the eight professional and personal competencies in the SOA Competency Framework.

Description: Join us for the Pandemics & Paradigm Shifts: ERM in an Intensely Dynamic World panel discussion, where industry and regulatory perspectives will help provide insight into a number of topics. Expect interactive dialogue opportunities based on the conversation between the panelists and the audience. Key topics that will be conversed about, but the panel is not limited to, include a brief review of historical paradigm shifts and subsequent insurer failures, best practices and an outlook on the ultra-dynamic world of today and consideration of a company's enterprise risk management framework as it affects ratings and insurance department examinations.