Description: Both LDTI and IFRS 17 have introduced numerous new metrics with most companies having only crossed the finish line, just complying with what's needed for reporting due the complexity and large amounts of data required to simply comply. How do you leverage all the work you did to get proper business insights across the organization that tie back to these reporting metrics?

Description: The session will focus on International Financial Reporting Standards 17 (IFRS17) implementation, including methodologies (classifications, different measurement models, fulfillment cash flows, and contract service margins) for various U.S. products, operational challenges, controls, IFRS17/GAAP comparisons and analytics.

Description: At the conclusion of the first part, attendees will be able to describe sources of reserve redundancy for products under Principle Based Reserve (PBR) and products under Commissioners' Annuity Reserve Valuation Method (CARVM). Such products include Term Life, Whole Life, Universal Life, and Fixed Annuity with and without rider. We will also review sources of capital redundancy from the C-1 factor under Risk-Based Capital (RBC) and assets such as Unrated Asset Credit Fund can have high C-1 factor even if its risks are limited. At the conclusion of the second part, the attendees will learn about potential Reserve Relief reinsurance solutions. Such solutions can provide Reserve Relief for annuity and term life businesses, as well as potential innovative asset-side solutions. Asset managers can structure assets that the C-1 factor aligned with the corresponding risk.

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 side step these obstacles to generate useful earnings analysis by various drivers.

Description: As our industry rapidly adopts more advanced technologies, today's actuaries have more data and greater analytical capabilities than ever before. Nevertheless, these advancements come with their own set of challenges.Come explore the tools and techniques to optimize your processes and avoid common pitfalls so that you can get the most out of your experience studies.

Description: Is 2024 the year you need to implement U.S. GAAP Long-Duration Targeted Improvements for individual health insurance products? In this session, we will discuss implementation and the importance of working with accountants and IT to ensure a successful implementation. Some requirements will be a surprise to health actuaries.

Description: This session will explore governance considerations for insurance carriers leveraging machine learning models. During the session, panelists will share insights on the evolving predictive model and AI regulatory landscape, as well as techniques for developing or enhancing AI governance frameworks that comply with emerging regulatory guidance.

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

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: The rapid and persistent rise in rates has increased many insurer's concerns around liquidity, disintermediation, and overall ALM risk management. Learn an overview of ALM, including the goals and reasons for performing it, common approaches, and real-world examples of common pit falls and mistakes that have been made in the industry. Explore the differences in approaches, and the pros and cons of these various approaches.Learn about the importance of understanding the ALM approach, with clearly defined strategic objectives. Additionally,discover an understanding of the value to both managing risk and optimizing enterprise value. Come away with a deep appreciation for the value that a well-constructed ALM program can bring to valuation/capital planning/asset adequacy testing/pricing (life and annuity).