Description: How do Professionalism and the Actuarial Standards of Practice apply as the way we work and tools we use continue to change? Business is conducted via social media and messaging and Generative AI allows for additional scenarios, analysis and oversight. Join us for an interactive session to go deeper into these topics including case studies, polls and a panel discussion.

Description: Presenters will explore specific actuarial use cases, showcasing custom-built demonstrations and discussing a wider range of applications.

Description: Indexed universal life (IUL) continues to be the most popular universal life (UL) product with sales reaching $1B in Q4 2023, according to LIMRA. There is little long term experience for IUL and many companies value and model IUL just like UL, but there are material potential differences that need to be considered for valuation and projection purposes. Presenters will discuss key risks and differences between IUL and UL relating to policyholder behavior and how to value, project, monitor and manage those risks to avoid repeating misestimates of the past. Presenters will also discuss broader life assumption risks such as mortality and yearly renewable term (YRT) reinsurance risk. Attendees will learn about options on how to potentially address underperforming blocks of IUL and will obtain an improved perspective on the risks of IUL products and the differences versus UL and how to incorporate these differences into their valuation and projection exercises.

Description: This session guides actuaries through the key steps of building a principles-based valuation model for a life product, starting with a brief overview of key requirements in LDTI and VM-20. The focus is on practical steps: defining product specs, sourcing in-force data, gathering actuarial assumptions and incorporating economic scenarios. We'll walk through a simple term life example, prioritizing Day 1 essentials such as accurate cash flow projections and basic reserve calculations. Attendees will learn where to find critical inputs (e.g., IT for data, pricing teams for specs), how to structure a model and pitfalls to avoid. Participants will gain foundational skills to construct LDTI and VM-20 models, confidence in prioritizing model build phases and a clear starting point for sourcing inputs.

Description: Summary - VM-22 will be finalized during 2025, with an optional phase-in period beginning Jan. 1, 2026, and mandatory implementation by Jan. 1, 2029. This session will discuss the regulation, including background, calculations, high-level results from the field test, and other modeling, as well as key considerations and documentation for actuaries and companies as they prepare to transition their fixed annuities into a principle-based reserve framework. Attendees will better understand the new VM chapter and some of the thinking behind the decisions made.

Description: Actuarial Asset-Liability models are indispensable for asset adequacy analysis, ERM, and economic capital. Actuaries often excel in modeling liabilities but tend to rely on Externally Projected Asset (EPA) cash flows from third-party sources for assets.

Description: Analyze financial risk and explore the foundation for pricing, valuation and other functions served by actuaries in the modeling profession during this webcast. Expect a focus on the importance of understanding and preventing bias. Observe the different types of bias, how it can enter into models, how to identify it in models and best avoidance practices. Join our presenter who is pursuing a Masters in Economic Analytics at Clemson University as he incorporates his recent economic research into the webcast material.

Description: The recent wave of innovation in GenAI has unlocked an entirely new category of AI applications. Whereas AI has traditionally focused on automation and predictions, LLM’s and Generative AI give us the opportunity to create AI applications that act as copilots. This emphasis on contelligence and empowering knowledge workers has already begun to change the way work is done. High expertise knowledge workers such as actuaries will be able to use this wave of AI Apps to make better decisions and dedicate more of their attention to the parts of the role that require domain expertise and judgement. Join Charles Morris, Microsoft’s Chief Data Scientist for Financial Services, as he talks about the latest advancements in this space and the opportunities it creates for expert knowledge workers. Charles Morris is the Chief Data Scientist for Financial Services at Microsoft. Charles has deep expertise in the financial services domain and works with many of the world’s leading asset managers, banks, insurance companies, and financial platforms to develop and execute their AI strategies.Currently, Charles is focused on applying Generative AI to financial services and advising many top financial institutions in building their own copilots and reimagining their businesses.Charles is a data scientist and machine learning engineer by profession and an expert in MLOps. Before joining Microsoft, Charles practiced data science, machine learning, and cloud engineering in the asset management industry. He has been a featured keynote speaker at several prestigious events and forums and is a highly sought after public speaker in the domain of AI and Innovation.

Description: In this session, attendees will understand the role of AI in risk management and underwriting. You will see insightful case studies highlighting AI-driven techniques for enhancing precision and efficiency in these areas. Additionally, the session will cover advanced AI applications in claim management and fraud detection, showcasing cutting-edge strategies to mitigate risks and streamline operations.

Description: Keynote Speaker: J.D. Kleinke, Author and Medical Economist J.D. Kleinke has been instrumental in the creation of four health care information organizations; has served on the Boards of several health care companies; and spent many years advising both sides of the political aisle on non-partisan, practical approaches to health policy and legislation.