Description: Cover a variety of topics centered around the unsupervised learning technique called 'clustering'. The presenters will take you through a wide array of topics that range from 'What is Clustering?' to 'How can I use this technique to solve problems I didn't even know existed?' In the health care industry, everyone is looking for an edge in reducing total spend-cluster analysis finds the unambiguous in an ambiguous framework of results.

Description: Renal disease is a very heterogenous medical condition whose end state is dialysis, a recurring cost intensive medical condition. Dialysis cost is one of the major medical cost drivers in USA. Insufficient and improper care management in the early stages of CKD (chronic kidney disease) leads to early incidence of end stage renal disease (ESRD) among CKD patients which not only leads to high medical costs, but also reflects poor health quality.

Description: Leveraging advanced technologies like Generative AI is essential for insurers looking to compete and drive business growth. In this high-level webcast, we discuss the transformative potential of Generative AI in actuarial work and how it empowers actuaries to become more efficient and effective.

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: 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: 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: Learn to utilize one of the most requested skills in the actuarial science job advertisements. During this webcast, discover the benefits of programming, how to identify and explain complex technical information and ways to create stunning visuals with ggplot2, which exceed the capabilities of Excel. With your webcast attendance, you will receive a document with detailed explanations, codes and underlying data. Enjoy exercises which allow the creation of fully reproducible solutions. This means an easy reproduction of all presented plots learned during this webcast. Register and take the next step toward building enticing visualizations.

Description: Session 1F: The Math Behind The Machine - A Review of First Principles

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.