Description: Read how the world’s largest provider of specialty insurance for classic vehicles uses its media department’s YouTube videos to its full advantage.

Description: The document explores how AI-supported underwriting influences mortality slippage in accelerated underwriting and evaluates real-world applications, risks, and industry impacts.

Description: Explore the use of conjoint analysis to understand what employees say they want and/or need in a retirement plan in newly released research material sponsored by the SOA’s Retirement Section. Retirement plans of the past were defined as a benefit or a defined contribution in nature with their attendant features. As today’s hybrid plan designs consider features of the two historical archetypes, this research methodology identifies which features of a retirement program are most important to employees. This research, coming from the SOA’s Aging and Retirement Strategic Research program, includes a tool for testing preferences for different combinations of features by different demographic groups (age, income, gender, race/ethnicity, etc.) By attending the webcast, you will be able to understand: What conjoint analysis is and how it works. Which features of retirement programs are most important to employees. How to use a tool to compare the importance of features for different demographic groups. How to use a tool to compare the level of acceptance of different retirement packages for various demographic groups. Come look at alternative plan designs (either inside or outside of what is possible today) to better understand how employees in different situations are likely to respond to the design combinations.

Description: This interactive webcast uses case studies and a new framework to show how retirement plans and practices can be fitted to best serve organizations’ missions and objectives, guided by data and analytics measuring their workforce impact.

Description: This study evaluates how integrating social determinants of health (SDOH) into Medicaid risk adjustment models impacts financial outcomes for ACOs/MCOs, offering foundational insights for policymakers and actuaries.

Description: This report examines the demographic, medical, and pharmaceutical profiles of HIV-positive individuals in Medicare and how their needs differ from the general Medicare population.

Description: The SOA Research Institute Aging and Retirement Strategic Research Program and Retirement Section are pleased to make available a research report that examines megatrends and potential paradigm shifts, and how they may impact the future of retirement and retirement plans, as well as the macro forces that will shape those trends.

Description: This report outlines a framework for interpretable machine learning algorithms for detecting fraud in health insurance. It discusses the challenges of using black-box machine learning models in the insurance industry and proposes various interpretable methods to enhance transparency and understanding.

Description: The session will talk about Management expectation and key development areas of Big Data, overview of big data application in the life insurance industry.

Description: Learn industry best practices including challenges faced by retirees, such as needing exposure to growth, most exposed to sequencing risk, and the need for smooth returns to avoid poor investor behavior caused by risk aversion. Other topics will include how to set investment objectives which consider the members’ real-world needs and how to build portfolios and implement risk management strategies to meet those objectives. The speaker will provide real-life examples/case studies.