Description: In this webinar, the presenters will give a behind the scenes look at how the NAIC ESG was parameterized. They will also share the results of its most recent calibration.

Description: Under long-duration targeted improvements (LDTI), there are a few insurance liability balances that now are required to be fair valued, market risk benefit (MRB). The session will start from all the applicable balances that are required to be fair valued under LDTI ((i.e., MRB, financial accounting statement (FAS) 133, value of business acquired (VOBA) upon business combination)). The session will use a case study to discuss some of the nuances and general considerations for an MRB, FAS 133 and VOBA balances for a business combination for an fixed indexed annuity (FIA) contract. The case study will discuss some MRB fair value considerations and followed by FAS 133 fair value techniques. It will go over VOBA fair value estimation by using actuarial appraisal method with a few twists (e.g., using market yield in generating distributable earnings is better than using book yield and adjusted to bring it to fair value later on).

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: In recent years, there has been a significant increase in life and annuity business transactions transferring blocks of business across jurisdictions. These transactions raise important questions for stakeholders-including policyholders, regulators, rating agencies, investors, and companies themselves-about the drivers of financial results under different regulatory and accounting regimes.As financial reporting frameworks grow more complex-whether US Statutory, IFRS 17, US GAAP, or Solvency II-stakeholders are demanding deeper insights into how results are determined and how they compare across jurisdictions. Understanding these differences is critical for assessing financial performance, capital strength, and risk exposures, particularly in a cross-border context.To address this need, many companies are developing and applying bridging analyses-such as waterfall analyses, step-by-step reconciliations, and other frameworks-to explain how and why results differ between reporting bases. These approaches help clarify key drivers and provide transparency to stakeholders.In this session, representatives from leading companies will share practical approaches they use to bridge these gaps, offering insights into the methodologies and analyses that have proven most effective in navigating cross-jurisdiction financial reporting challenges. Attendees will gain a clearer understanding of cross-jurisdiction reporting differences and take away ideas for applying effective bridging techniques within their own organizations.

Description: Most people will now have had some exposure to Large Language Model tools such as ChatGPT and will have been impressed by their ability to write essays or generate computer code. However, fewer people will be aware of the next phase of AI, which will turn AI chat assistants into more fully fledged AI colleagues. These emerging set of tools come under the broad term of “AI agents”, which are AI-based systems which have capabilities beyond a simple chat interface and are able to interact with external tools, access data, and most importantly have the capability to plan and perform arbitrarily complex tasks. In this talk we will explore the emerging field of AI agents and discuss our experiences using such frameworks to build end-to-end actuarial modelling solutions and demo some POCs we have been working on for the audience. We will also cover topics related to building such complex AI systems including: prompt-engineering fine-tuning retrieval augmented generation function calling specific AI agent frameworks and how they will allow AI to participate in all the different stages of the actuarial modelling process from coding and testing to documentation and analysis.

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: Have you ever struggled to make business decisions because your internal mortality studies lack credibility? Have you ever launched a new product or initiative and wanted to understand mortality risk before claims experience emerged? This session will discuss how predictive models can help actuaries enhance their traditional mortality studies with leading mortality leading indicators to be more nimble to market demands.

Description: The NAIC Generator of Economic Scenarios (GOES) Project is scheduled to go live in January 2026. Over the past five years the GOES economic scenario generator has evolved significantly. Important modifications such as the flooring of interest rates and the process for initializing the time 0 interest rate yield curve has been part of this evolution. The introduction of a suitable Stochastic Exclusion Ratio Test (SERT) and associated deterministic reserve (DR) has also evolved and remains a work in progress. At this point in the GOES project, several field tests and model office results are available that provide some insight into the differences between the current AIRG model and the GOES model that is about to be introduced.

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: 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.