Description: One of the evolving datasets with the COVID-19 Research Database is the Datavant population mortality information. This report notes the features of the database, discuss their potential use and limitations, examines data reliability and reviews it potential use as an additional data set and input to mortality improvement models.

Description: Actuaries today have unique opportunities to analyze, understand and use data for strategic decision making. With nearly unlimited computing power and a broad spectrum of data sources at our fingertips, we are enabled to support our actuarial judgment with comprehensive findings backed up by deep data analyses.

Description: Learn more about recent updates to the Bermuda Market and how this may impact current and future market players. This session will cover the Bermuda reserving and capital requirements and how the recent Bermuda Consultation Paper may impact the industry. At the end of the session, you will have a better understanding of the status of the proposed changes, the implications and general observation of the industry reactions.

Description: Discuss population mortality improvement trends in the U.S. This will include analysis of cause of death data and trends in mortality pre-pandemic and during the pandemic. We will also discuss ways to think about translating population mortality improvement to an insured population.Learning outcomes includea better understanding of the drivers of recent mortality improvement and insights on how to create a company view on mortality improvement.

Description: How can generative artificial intelligence (AI) be leveraged to transform and modernize life insurance? Gain an overview of AI and some of their current use cases in the industry, including the latest trends in the market. Next, you will learn about the current challenges companies face, including costly underwriting procedures, customer acquisition and retention, and complicated application processes. Finally, explore how generative AI can help address these challenges, improve customer experience and help streamline processes to free up more time for higher-level business insights and other company initiatives.

Description: Focus on Accelerated Underwriting (AUW) in the life insurance industry, which is an expedited underwriting process that utilizes predictive models. Expect to address the challenges in designing the process, from modelling to performance monitoring. Additionally, you'll address risk management, particularly in mortality and proxy discrimination andhighlight the role an actuary can play in the AUW process, as well aswhat they should know to contribute effectively.

Description: In this wide-ranging session, expect updates on the work of the Individual Life Experience Committee and delve into some interesting recent research. You'll gain an update on recent findings from the Individual Life Experience Committee regarding individual life mortality experience.

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 report examines options for analyzing periodic changes in VM-20 reserve amounts.

Description: Initiated by the Product Development Section, this report examines global product development (PD) practices of life insurance and annuity companies.