Description: Panelists from the home-based care industry will discuss the latest technology and services that enable and prolong the receipt of formal and informal care at home for the elderly and delay transitions to care facilities.

Description: Session 1C: Group Life Experience Update

Description: LDTI requires that reinsurance recoverables be recognized in a manner consistent with the liabilities of underlying direct contracts. Consider implications of multiple ceded reinsurance contracts (e.g., coinsurance and YRT on the same business) and how this impacts the calculation of the net premium ratio (NPR) and other related approximations. Explore different options when only some of the policies within a cohort are reinsured. Multiple interpretations of the components of the NPR formula exist. Two main approaches will be presented-standalone and integrated approach. Other considerations to be discussed include implications of closed-block reinsurance transactions at transition and subsequent to transition, contra-DAC, market risk benefits. Finally, explore the short-duration YRT approximation (1/2 Cx) compared to the long-duration calculation.

Description: Delves into the impact of rising interest rates on annuity product management, with a focus on the challenges of disintermediation and implications to hedging. Learn about in-force management actions, best practices for managing annuities in a changing environment and associated risks. Explore how companies are revising their hedging strategies to adapt to shifting market conditions and regulatory framework changes. Gain a comprehensive understanding of the relation between rising interest rates and disintermediation, its financial and business impacts, and strategies for managing business and setting assumptions during periods of high disintermediation. Come away with practical strategies for optimizing returns, minimizing risks, and navigating the challenges and opportunities associated with annuity product management in the current interest rate environment.

Description: LDTI's roll forward disclosure requirements include line items for the impact of actual variances from expected experience (A/E) for both net premiums and benefits. These aggregate A/E amounts provide some insight into how actual experience is emerging relative to expectations, but they do not provide insight into either the drivers of the deviations or their significance.

Description: This session on Innovations in Underwriting will explore the latest advancements in underwriting technology and methodologies. It will focus on how these innovations are transforming the insurance industry, making underwriting processes more efficient, accurate, and customer-friendly. Topics will include the integration of artificial intelligence (AI), machine learning, and big data analytics into underwriting workflows. Additionally, we'll discuss emerging trends in risk assessment, automation of underwriting tasks, and the implications of these changes for underwriters and insurance professionals. Attendees will have the opportunity to learn from industry experts and participate in discussions on how these innovations are reshaping traditional underwriting practices. Learning Outcomes: - Gain an understanding of the latest technological advancements impacting underwriting, including AI, machine learning, and data analytics. - Learn how these innovations can streamline underwriting and pricing processes, improve accuracy, and reduce costs. - Explore new risk assessment methods and discover how automation is changing the underwriter's role. - Identify best practices for integrating innovative technologies into existing underwriting and actuarial pricing frameworks.

Description: Behavioral Science is a powerful tool to enhance customer experience and improve outcomes across the life insurance value chain. This session will cover the foundations of behavioral concepts in a life insurance context and discuss practical areas that can benefit from behavioral science including customer engagement, disclosure, and retention. The session will leverage recent SOA research and specific experience in communication campaigns and call center best practices to translate theory to quantified results. Attendees will leave with an appreciation for potential challenges and practical steps to measure and demonstrate the value of implementing behavioral science.

Description: Gain an overview of the requirements for the new asset adequacy Actuarial Guideline 53 (AG53) guideline for complex assets. You will discover helpful insights and considerations for multi-scenario testing and sensitivity testing as well as approaches to developing attribution analyses for complex assets. You will also receive insights from any published regulatory materials that help describe what worked well and what needs improvement based on the initial AG 53 submissions from year-end 2022.

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: As companies have reported their latest financials for 2023, LDTI is in its full swing for the public companies. Under US GAAP reinsurance accounting methods can be daunting. Add onto this legacy practices related to reinsurance reporting and this may lead to significant unwinding and implementation efforts. This session will discuss industry practices commonly applied to US GAAP reinsurance reported balances such that LDTI adopters can gather deeper insights into the LDTI impact. Specifically, the session will explain the two most popular methods to value reinsurance under LDTI, methods applying a direct measurement of the reinsurance net cost and a method that recognizes ceded asset balances and a cost of reinsurance (“CoRe”). The session will present simplified direct and ceded models to demonstrate how the actuarial balances under LDTI impact GAAP book profits for different underlying products and reinsurance types.