Description: "Explore a general introduction to the opportunity of applying a relatively newer area in machine learning called uplift modeling, which has been successfully used in retail (Wayfair etc). The concepts are parallel to the intervention programs in health care, where we are interested in measuring the treatment effects and ultimately directing the right members to the most effective programs, driving the highest value for the programs both from a financial and health outcomes perspective. Uplift modeling can also be viewed in context of causal modeling where we are interested in assigning cause to a treatment relative to a member not receiving the treatment. Check out an introduction on the concept, seehow it relates and builds on existing work, and use a demo to showcase the potential of integrating this ML approach to current work."

Description: Discover an introduction to decomposing differences in life expectancy by age and cause of death. Take a look into demographic techniques that decompose life expectancies at birth and older ages into the portions contributed by later age groups and causes of death-. These have been in existence for some time and provide a convenient device for analyzing mortality change over time as well as differences between sexes, countries, and ethnic groups. The methods will be described and illustrated by spreadsheet examples.

Description: "Population Aging, Global Climate Change and Social Security – Sally Shen, Research Associate, Global Risk Institute, John A. Turner, Ph.D., Director, Pension PolicyClimate Change and Mortality Time for Actuaries to Pay Attention – Sam Gutterman. FSA, CERA, FCAS, FCA, HONFIA, MAAA"

Description: This session will examine bias from a social science perspective. It will discuss the three types of systemic biases using the National Institute of Standards and Technology (NIST) model. The NIST model details the three types as historical bias, societal bias, and institutionalbias. The session will also provide several examples of each type to provide a framework for identifying the social structure of bias.

Description: In this talk, we look at two behavioral aspects: from end customers perspective and through the lens of underwriters. We will examine simple rules to improve the insurance underwriting decision to judge whether a risk is insurable and whether they have impact on increasing underwriting decision quality.

Description: This session will explore the evolving landscape of accident and health valuation, with a special focus on GAAP Long Duration Targeted Improvements. Discussion will delve into the intricacies of change brought by GAAP LDTI for calculation of both Lifetime Future Policy Benefits (LFPB) and Deferred Acquisition Costs, as well as potential downstream impacts to other activities related to general GAAP and STAT reserving such as experience analysis, model system conversion, financial planning and analysis, and statutory margin analysis. Attendees should be able to connect accounting and financial reporting concepts under GAAP LDTI to opportunities for technology modernization, improved transparency of financial analytics, and important considerations unique to Accident and Health products.

Description: Both LDTI and IFRS 17 have introduced numerous new metrics with most companies having only crossed the finish line, just complying with what's needed for reporting due the complexity and large amounts of data required to simply comply. How do you leverage all the work you did to get proper business insights across the organization that tie back to these reporting metrics? This presentation covers a perspective of pain points faced in getting over the the hurdle in complying with LDTI and IFRS 17, upcoming hurdles, emerging KPIs, as well as how to best manage the data, technology, and processes to produce the analysis around these KPIs efficiently.

Description: Investigate the concept of value annuities and the potential cost-effective differences when compared to traditional annuities by attending this webcast. Value annuities are an alternative lifetime income solution where longevity and investment risks are born by a pool of annuitants rather than a centralized insurer. Join this webcast for a closer look at the practicalities of designing and administering a value pool. There will also be a focus on the legislative, regulator and supervisory implications.

Description: As long-term care enters into its fifth decade, the product continues to evolve. Current trends as well as innovative product designs pose many challenges as carriers seeks to model long-term care.

Description: Retirement planning generally includes a focus on decisions needed at time of retirement, but it often fails to focus on changes during retirement and additional decisions needed as people age. The 2021 SOA Risk Survey and other SOA research documents the lack of focus on future change. It is common for people to lose cognitive ability and generally to become less able to make decisions, manage their finances, their medical care and their lives at high ages.This panel focuses on communication and decision issues. The SOA has recently issued a decision guide on High Age Decisions. The brief identifies four domains for high age decisions: ·Health, health care and staying healthy ·Managing finances ·Housing and transportation ·Support networks The panel will include a discussion of communications and how we change, problems of physical, hearing, sight or cognitive decline and the challenges created and the four domains in the SOA Decision Brief.