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: Generally accepted accounting practices (GAAP) reporting frameworks are more involved than ever before. From disclosures to assumption changes, to interest rate movements, uncovering the drivers of income emergence can prove hard to do, and even trickier to communicate. This session will revisit how the updated standards create layers of complexity and offer ways to sidestep these obstacles to generate useful earnings analysis by various drivers.

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: Hot Topics in Setting Pension Return Assumptions is the third in a series, following Mathematics of Pension Return Assumption and Inflation, focusing on Effects, Forecasts, and Role in Pension Valuations. What time horizon is more appropriate for Capital Market Assumption (CMA) forecasts: mid-term or long-term time horizon, or a blend of both? How do we map the asset classes of a plan's own investment policy to the asset classes of investment forecasters' CMAs? If we use asset-smoothing for valuation assets, should we use market-driven expected returns or smoothed/average versions of them?

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: How do we take a Minimum Viable Products (MVP) approach to launch new insurance products? Join this moderated discussion and focus on three key development aspects: Distribution, Systems, and the design and pricing of the Insurance product itself. Come discuss reasons to choose an MVP approach and how it solves many of the product launch challenges.

Description: In this video Ben Keslowitz describes the differences in types of Annuities. Ben discusses that there are two main types: immediate annuities, which start payments right away, and deferred annuities, which delay payments. He then goes on to discuss immediate annuities include lifetime, certain only, certain and life, and joint and survivor annuities, each offering different payment structures and durations. He dives into these structures to give the viewer an intro level on options on annuities.

Description: June 2024, AG54 will begin for new RILA sales. This guidance requires companies to determine an interim value that is more aligned with the market value of the position on a daily basis. This discussion will talk through companies adoption of AG54, lessons learned, approaches and integration with the administration system. Additionally this session will discuss how AG54 impacts new product design, reserving and capital implications.

Description: As the size of the life reinsurance market in Bermuda has grown to over half a trillion dollars at the end of 2021, more and more actuaries are getting involved with this 21 square mile North Atlantic island in one way or the other. Come explore a fundamental understanding of the Bermuda solvency framework and an overview of its upcoming changes.

Description: Over the last 10 years, Artificial Intelligence (AI) healthcare foundation models have made tremendous strides when it comes to delivering highly accurate predictive results when compared to traditional models. This is especially true for models developed and trained on the ‘language’ of healthcare. When trained on healthcare data sequences (claims, EHR, CPT, ICD, pharmacy, lab, etc.), these models deliver far more accurate results as to WHAT beneficiary-level health events will occur and even WHEN they will occur.