Description: Dive into an overview of potential customer value propositions, trends in consumer acceptance and adoption, solving the data portability issue, potential impacts of emerging partner ships with OEMs and more within the auto insurance industry during our latest webcast. Experience interactive dialogue that will allow another dimension of thinking as industry experts provide insights and expertise. Throughout this webcast, you can expect developments in the personal lines automotive telematics-based insurance landscape that will develop a further understanding of the present and future of this industry.

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

Description: Modeling Approaches and Challenges focuses on approaches to real world simulation and the challenges and considerations in real world simulation. Topics include: A frequency domain approach to build realistic multi-horizon scenarios. (Ortec approach) Cascade models structure linking models for major asset classes and economic variables. (Moody’s approach) Overview of models, calibrations & approaches within the context of different use cases. Deterministic & stochastic approaches. Importance of model re-calibration flexibility. We will also discuss specific insights into considerations and challenges in real world simulation, which include topics like: Setting capital market assumptions and/or calibration targets. Assumptions about correlation and causality. Calibrating the model to capital markets assumptions. Validating the model against capital market assumptions. Role of history, market data and stylized facts. Importance of back testing. Calibrating the model to multiple investment horizons. Inclusion of alterative asset classes such as private equity, infrastructure, and direct real estate. Associated issues of limited data, illiquidity and greater uncertainty about calibration targets.

Description: "This session is for liability-side actuaries seeking a summary of asset valuation principles. Topics to be discussed include: Why it's important in today's world to understand both sides of the balance sheet. Yield curves, including spot rates, forward rates, coupon rates and bootstrapping. Duration calculations, including an explanation of modified duration for contracts with embedded options and key rate durations. A summary of today's regulatory environment in the context of embedded options, including MRB, VM-21 and VM-22. Next, we will dive into duration profiles of different asset classes, including CLOs (floating rate), RMBS (negative convexity), traditional bonds and swaps. Lastly, we will discuss risk-neutral scenarios, martingale tests, and applications in hedging MRBs."

Description: Suited for students, newly minted ASAs/FSAs, or those venturing into the realm of reserving, as well as seasoned actuaries in need of a recap, this session is a gateway to the mysteries of IBNR reserving, unraveling various methods and assumptions. Embark on a journey through the construction of claims triangles and the crafting of completion factors, delving into the enigmatic realms of seasonality, trend analysis, and outlier claims. Harness the principles unveiled to dissect a myriad of case studies spanning diverse products like major medical inpatient, outpatient, pharmacy, Medicare Supplement, dental, and critical illness. This session is your guide through the intricate world of reserving!

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: 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: 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: Modern actuarial work, being quite data intensive, provides many opportunities for actuaries to use the statistical skills that are part of their basic training. Furthermore, modern computing allows us to analyze vast quantities of data intensively, and each package will provide statistical 'answers' to any questions the actuary might ask of it.

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.