Description: The insurance industry hinges on accurate actuarial assumptions. This session explores how insurers can leverage AI/machine learning (ML) to unlock greater accuracy and granularity in assumption setting, while effectively managing risks, implementing strong governance frameworks, and meeting validation expectations from regulators.

Description: Deaths due to non-medical causes such as drug overdoses, alcohol-related deaths, homicides, suicides and accidents are the leading cause of death for those under the age of 50 in the U.S. and is the fourth leading cause of death (after cardiovascular, cancer and COVID-19) for all ages combined in 2021. Take a deep dive with us into the mortality trends for non-medical causes of death and the impact these deaths have on different types of life insurance, including simplified issued, fully underwritten and group.

Description: This session will explore the mortality implications of reaching new markets, leveraging unique analysis that directly compares the mortality experience of the general populations and insured populations. Experts will explore how the industry can responsibility reduce the insurance gap, effectively employ digital data to assess new markets, and tackle the challenge with eyes wide open. At the conclusion of the session, attendees will be able to: •Understand differences in mortality experience between various populations – general, insured and uninsured •Articulate the challenges the industry may face in closing the insurance gap •Appreciate the role digital evidence can play in managing and accessing new marketing segments

Description: The document is a report on U.S. Population Mortality Observations updated with 2022 experience by R. Jerome Holman, FSA, MAAA. It covers mortality trends, analyses by factors like sex, age group, and cause of death, and includes methodological details for the data presented.

Description: This report presents Phase 2 of the 2024 IDEC Study, analyzing individual disability income (IDI) claim recovery and mortality rates from 2006-2014. It expands Phase 1's scope—previously limited to 90-day elimination and To Age 65-70 benefit periods—to include additional elimination and benefit periods, examining variations by diagnosis, occupation class, claim year, and gender.

Description: Understanding Asian Capital Regimes

Description: This session guides actuaries through the key steps of building a principles-based valuation model for a life product, starting with a brief overview of key requirements in LDTI and VM-20. The focus is on practical steps: defining product specs, sourcing in-force data, gathering actuarial assumptions and incorporating economic scenarios. We'll walk through a simple term life example, prioritizing Day 1 essentials such as accurate cash flow projections and basic reserve calculations. Attendees will learn where to find critical inputs (e.g., IT for data, pricing teams for specs), how to structure a model and pitfalls to avoid. Participants will gain foundational skills to construct LDTI and VM-20 models, confidence in prioritizing model build phases and a clear starting point for sourcing inputs.

Description: The Committee on Life Insurance Company Expenses is currently seeking life insurance company data submissions to the 2008 Individual Life and Annuity Expense Study. This is the data submission form for Universal Life Products. Please see the SOA website experience studies for teh completed study.

Description: A short article looking at the results from an annual assumption survey of VA writers with a focus on changes companies observed and planned to make due to COVID-19. In the article we discuss what companies should be considering as they approach the 2020 year end assumption setting and audit season.

Description: Summary of SOA initiative on preparing and positioning actuaries to move into new roles which are becoming available as the health care industry changes.