Description: Learn from panelists from different companies as they come together to discuss their experiences.

Description: The Society of Actuaries (SOA) Research Institute received a grant from the U.S. National Science Foundation (NSF) to educate insurance actuaries on the use of wildfire risk datasets and models to be developed by researchers from academia and the U.S. National Aeronautics and Space Administration (NASA).

Description: This report provides a methodology for identifying climate regime shifts in different scenarios to prepare insurers for the impacts of climate change. It discusses physical tipping points, socio-economic tipping points, and regime shifts affecting the insurance industry, with a focus on wildfires in California and heat stress in the Pacific Northwest.

Description: The topics of ESG (Environmental, Social & Corporate Governance) and sustainability are an increasing area of focus for insurance companies, and thus actuaries. This webcast provides a primer on these topics along with considerations for US valuation actuaries and their evolution in European insurance markets.

Description: Feature article describing what author thinks it will take for a life insurance company to be successful in the year 2020.

Description: This session will discuss essential theories and practical applications of deep learning for actuaries. Participants will gain insights on leveraging these cutting-edge techniques to enhance actuarial models and drive predictive accuracy.

Description: Credibility is a mechanism for estimating a quantity of interest by combining subject experience and relevant experience to improve the estimate.

Description: The session begins with a brief introduction to Gen AI, including “what it is” and how to optimize outputs. Then, we will to provide some insight into what we are seeing within the Actuarial space – this would include the extent to which actuaries are using Gen AI on a day-to-day basis, how they are going about using it, and some predictions as to where this will go.

Description: An overview of the objectives of outbreak modeling, and an examination of the various types of models used both to forecast an uncontrolled outbreak, and to estimate the effects of interventions intended to alter the outbreak’s trajectory

Description: This report outlines a methodology for estimating mortality improvement factors based on data from insured lives. The report details challenges, methodology, results, comparisons with population data, limitations, and potential improvements.