Description: The Society of Actuaries Retirement Section Research Committee has sponsored a retirement project on the impact of megatrends and paradigm shifts on retirement plan design and funding. Various aspects were examined in the context of the future of retirement plans, including: Sociocultural Economic Technological Health and Long-term Care Environmental Presenters will address how the future is changing and challenge accepted thinking about retirement issues, as well as highlight new areas for consideration. At the end, you will have a better understanding of megatrends and how actuaries and others may address the changes in retirement plans.

Description: Product complexity, the services provided by distributors, their method of obtaining clients, and their relationship to insurers all affect the characteristics of in force membership. Selecting the distribution channel(s) for a product can have a significant effect on overall profitability. Total sales, acquisition costs, anti-selection/quality of business, persistency, control over market targeting, etc., will vary based on the initial strategy decisions and future adjustments. Gaining a high-level understanding of distribution channels will help develop an appreciation for the importance of these decisions.

Description: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.

Description: Renal disease is a very heterogenous medical condition whose end state is dialysis, a recurring cost intensive medical condition. Dialysis cost is one of the major medical cost drivers in USA. Insufficient and improper care management in the early stages of CKD (chronic kidney disease) leads to early incidence of end stage renal disease (ESRD) among CKD patients which not only leads to high medical costs, but also reflects poor health quality.

Description: Learn about the climate-related risks and opportunities that are relevant to life insurers. Additionally, you will also discover an overview of key regulatory drivers around the globe that will require life insurers to take action in the near future.

Description: Welcome to the future of insurance, for actuaries and non-actuaries! Discover how cutting-edge AI models are revolutionizing underwriting, risk assessment, and customer experience for the insurance industry. Experts in management consulting and actuarial consulting firms will provide valuable insights into the consideration and challenges surrounding the adoption of Generative AI.

Description: One common barrier to employing GLM modeling is the lack of sufficient data. This limitation often comes from the combination of the considerations in ASOP No. 25 “Credibility Procedures” and the fact that GLMs assign full credibility to the data. Explore the possibilities of credibility-based regression by expanding the intended purpose of modeling analysis from producing a single model as output to producing data insights, credible differences, and a range of reasonable models.

Description: Cluster modeling is emerging as a powerful technique to manage cloud costs and run time. It also enables quick responses to "what if" scenarios, and aids in attributing results between reporting cycles. In this webcast, we provide insight into cluster modeling, present case studies that focus on various key performance indicators and discuss the benefits and challenges to cluster modeling from an insurer’s perspective. We also discuss the considerations associated with moving from an on-prem based computing solution to a cloud-based approach.

Description: Leveraging the research papers "Emerging Technologies and their Impact on Actuarial Science and Top Actuarial Technologies," the presenters of this session will highlight current and emerging actuarial technology trends, discuss how these trends will impact the day-to-day work of actuaries, and explain what actuaries can do to adapt.

Description: Actuaries are increasingly being asked to incorporate Economic Scenario Generators into their work. Whether it be a Risk Neutral model for pricing or a Real-World version for Economic Capital modelling, using these tools can help produce a much more robust analysis. Unfortunately, these models and their underpinnings are also very complicated, which can lead to confusion. Come watch the presenters try to demystify some of this. In particular, they will address the following questions: • What is the difference between Real-World and Risk Neutral scenarios? • When should I use one or the other? • How are these models calibrated? • What are some of the misconceptions about these models? At the conclusion of the session, attendees will be able to: • Explain the difference between Real-World and a Risk Neutral scenarios • Understand the appropriate usage of both • Identify some of the calibration questions that go into developing an appropriate set of scenarios • Avoid some of the common misconceptions about these scenarios