Description: Go beyond the pie chart with heat maps and word clouds! Join your fellow actuaries in navigating current AI tools for data visualization. Starting with AI best practices in both data visualization and professionalism, we will look at how actuaries can use these tools for pattern discovery and communicating results to multiple audiences. We will have a live demo of some current tools to show capabilities.

Description: Join us for a fast-paced webcast unpacking results from the 2026 Emerging Risks Survey. Get key insights from 350+ insurance and financial services leaders, including C-suite respondents, on what they see ahead for 2026 and beyond – spanning economic volatility, geopolitics, adverse AI outcomes, and cyber risk. We’ll spotlight key sector differences and the long-term combinations of risks shaping strategic planning.

Description: This video introduces an SOA Research Institute report on pension risk transfer, explaining how defined benefit plan sponsors increasingly use de-risking strategies to manage financial, longevity, and regulatory pressures. Steven Siegel, ASA, MAAA presents this innovative video.

Description: The video features Dale Hall, Managing Director at the Society of Actuaries Research Institute, where he presents findings from an SOA Research Institute study on the readiness of Asia-Pacific markets for commercial long-term care insurance (LTCI) amid rapid population aging.

Description: The video, by Kara Clark, explains how technology is a major long-term driver of future mortality, drawing on Chapter 8 of the SOA Research Institute’s Long-Term Drivers of Future Mortality report.

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: In this presentation, we will delve into the realm of structured finance, placing a spotlight on advanced structured finance modeling. This session will first explore the growth of structured assets in the insurance space, and the reasons behind this growth. We will then conduct a deep dive into different credit models underlying the cashflow projections of different types of structured securities, including an overview of approaches for modeling the prepayment rates, default rates, and loss severity. We will also explore how a refined credit model can help insurance companies evaluate the risk-return tradeoff of investing in different structured assets. This session aims to enhance understanding of structured finance products and how to model them.

Description: As part of its ongoing focus on aging populations, the Mortality and Longevity Strategic Research Program Steering Committee of the Society of Actuaries Research Institute initiated a multi-phase effort to examine mortality patterns at older ages. To guide this initiative, a Project Oversight Group (POG) was established.