Description: Long-term care insurance (LTCI) covers the cost of long-term care services and supports, which can include skilled nursing, assisted living facility, and home-based care. LTCI may be used both to cover care costs and protect beneficiaries’ assets. The rapidly increasing number of older people in the United States will greatly increase the need for long-term care. As the landscape of long-term care continues to evolve, recent trends indicate a significant shift towards product design innovation, inforce management strategies, and policyholder engagement. This session will address several facets of the current state of LTCI as well as potential future evolutions of the product.

Description: This session will explore the uses of financial models at companies as well as the history of how we have arrived at the current day status of how models are used and viewed internally. Financial models can be very useful tools for many actuarial purposes - a key asset for many areas of a company including forecasting and understanding key shifts in business demographics. However, many modeling challenges have companies treating models as a liability and only using them for necessary processes. This session will explore why this is the case and explore opportunities to turn financial models into a key asset supporting key decisions.

Description: In 2006, a pioneering research paper was published on practical considerations for Economic Capital (EC), which has remained a staple on the Society of Actuaries (SOA) exam syllabus ever since. For many, that time represented the golden era of EC-often dubbed the œquantification of Enterprise Risk Management with nearly every major U.S. life insurer performing some form of EC calculation. However, following the 2008-2009 financial crisis, EC fell into disfavor in some circles. Several companies that appeared healthy from an EC perspective prior to the crisis were found to be far more vulnerable afterward.

Description: This session will take a deep dive into emerging mortality experience for long-term care policyholders over age 90. How do we sort fact from fiction when it comes to recent experience that is blurred by the pandemic? This session will look at actual experience of healthy and disabled policies before, during and after the pandemic to help actuaries set assumptions.

Description: Diane Swonk, Economist, KPMG, Currently the chief economist for global auditing firm KPMG, Diane Swonk has more than 30 years of experience in financial services and sits on advisory committees to the Federal Reserve Board and its regional banks. She is currently on the U.S. Chamber of Commerce economic advisory board.

Description: Fairness in life insurance isn’t a checkbox—it’s a set of choices, trade-offs, and consequences. In this webcast, the report’s author will walk through a practical framework for defining and measuring fairness in life insurance workflows, showing why “fair” can mean very different things depending on whether you’re focusing on individuals or groups—and why you often can’t optimize both at once. You’ll get a clear tour of the major fairness criteria used in today’s literature—what they measure, where they fit in insurance, and what can break when you adopt them . Expect straight talk, concrete insurance-oriented examples, and guidance on selecting metrics that align with business objectives, regulatory expectations, and stakeholder priorities—without pretending there’s a one-size-fits-all answer.

Description: Cardiovascular disease (CVD) remains the leading cause of death among older adults in the United States. While genetics play a foundational role in establishing risk, disease progression is heavily shaped by lifestyle behaviors, environmental exposures, and social determinants of health. This Webcast will summarize key insights from an expert panel discussion on the evolving landscape of cardiovascular mortality at older ages.

Description: This webcast will update listeners on the financial status of the U.S. Social Security program, describe half a dozen widespread myths, and discuss the reality of "waste, fraud and abuse" in the program.

Description: When designing and pricing a healthcare product, it is not only important to know how to model frequency and severity, but it is essential to understand human behavior. Of course, the issue of anti-selection in medical insurance is well known as individuals know more about their health and prior expenditures than an insurer does. This type of behavior is certainly rational, and to be expected.

Description: Summary of an expert roundtable on generative AI in healthcare and health insurance, focusing on use cases, governance, trust, risks, and evolving actuarial skills.