Description: The old adage 'insurance is sold not bought' has been used to dismiss digital insurance and support the old agent model of distribution. However, modern distribution systems address this with personalization. This is not simply a customized application form based on age or gender. Personalization is much more dynamic and happens in real-time. It's about tailoring the end-to-end experience to meet the needs and expectations of the specific applicant. The core tools to achieve this are AI learning and nudges from behavioral science.

Description: Many insurance companies have started Diversity, Equity, and Inclusion (DEI) initiatives over the past few years to better engage with their employees and communities in new ways. Explore another important audience of DEI programs: the customers who purchase insurance products. Review research on the unique needs of specific groups that may have been underserved by insurance companies in the past. You will also touch on ways to make the insurance buying process more accessible to everyone.

Description: Come discuss inforce management techniques that go beyond the traditional methods of adjusting non-guaranteed elements within contractual limits. Methods such as retention, cross-selling/up-selling, wellness, exchange programs and other customer behavior initiatives will be presented with relevant considerations.

Description: Future mortality improvement is an important assumption in the valuation of life insurance. In this session, presenters will discuss the work of the Life Mortality Improvements Subgroup (LMISG) of the Society of Actuaries (SOA) Mortality and Longevity Oversight Advisory Council (MLOAC) developing mortality improvement scales for individual life insurance.

Description: This session will uncover the mystical findings that can be uncovered when leveraging a reinsurer. Insights discussed during this session include mortality at high face amounts, interactions between lapses and mortality, mortality improvement on low face amounts, fully underwritten mortality by Resident State and more. At the conclusion of this session, attendees will be able to identify where reinsurer data can help uncover insights, how mortality and lapse knowledge can improve product performance and what some mortality results can come from reinsurance research.

Description: Even though the 2018 Tax Cut and Job Act significantly simplified the tax valuation methodology, taxation can impact the valuation outcomes and financial decisions. This presentation will start with an overview of the key taxation topics relating to valuation work, and then dive into more complex topics, such as the deferred tax asset/liability handling and reinsurance implications.

Description: Indexed universal life (IUL) continues to be the most popular universal life (UL) product with sales reaching $1B in Q4 2023, according to LIMRA. There is little long-term experience for IUL and many companies value and model IUL just like UL, but there are material potential differences that need to be considered for valuation and projection purposes.

Description: Value of new business (VNB) is being used by many companies for various purposes including: internal and external financial reporting, incentive compensation, pricing, capital management, and comparing products, distribution channels or regions on a consistent basis. Presenters will discuss how and why value of new business is used within their companies including: the various methodologies considered, some of the benefits and challenges related to implementing VNB, integrating VNB within their business as usual processes, and managing to VNB.

Description: In this session, we will explore the innovative use of artificial intelligence in developing narrative scenarios to enhance life insurance investment strategy discussions. Participants will discover how developing comprehensive and imaginative scenarios can help identify potential future risks and opportunities, leading to more informed investment strategy planning. The session will cover practical approaches to creating and utilizing narrative scenarios, emphasizing their role in improving decision-making processes. Join us to learn how to craft compelling scenarios that provide a broader understanding of drivers of emerging trends and uncertainties, ultimately transforming traditional investment strategies in the life insurance sector. Learning Outcomes: - Understanding the role of AI in Scenario Development - Enhancing Investment Strategy Decision-Making - Writing comprehensive scenarios and using them for specific investment strategy decisions

Description: Life insurance products have evolved over time from the early mutual aid societies paying benefits when members died to comprehensive products covering a range of financial needs over an individual’s lifecycle. While some life insurance benefit riders have been offered for decades and are well-established, recent years have seen a number of accelerated benefit riders being introduced by carriers for a growing range of covered triggers. Join us as we discuss these acceleration and extended benefit riders, trends and innovations in the space, and discuss challenges and actuarial considerations in designing, pricing, and modelling them. We will also explore issues carriers have experienced, how to consider the interactions between these benefits and the underlying mortality coverage, reinsurance considerations, and more!