Description: Artificial intelligence is rapidly transforming the investment landscape. From natural language processing and large language models to physical AI applications like robotics, autonomous vehicles, and drones, the evolution of AI is reshaping both how we analyze data and where we find opportunity. We’ll begin by exploring the evolution of AI, which is already driving disruption across industries such as coding, customer service, and marketing. However, the future of AI is physical AI (drones, AVs, robotics). With valuations already stretched, and growing concerns about the “circular economy” and bubble risks, investors should focus on high-quality tech companies that generate free cash flow and deliver strong returns on invested capital. We'll explore examples of interesting companies across the globe: Meta, Alphabet, and Uber in the US; ASML in Europe; Tokyo Electron in Japan; TSMC in Taiwan; and BYD in China. The session will also examine how natural language processing and large language models are reshaping the way quantitative and fundamental managers extract insights from raw data. We’ll highlight how these tools are being deployed to enhance understanding of risk and return, and how they’re increasingly supporting collaboration between quant and fundamental teams.

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. However, in this particular field, it is often worth taking a step back, and ensuring that we recall and consider the warnings that come with each of the statistical procedures we might attempt to use. This will allow us to ensure that we guard ourselves against drawing inappropriate conclusions, which could come back to haunt us later.

Description: This session will focus on long term disability insurance reserving practices. It will address current practices in calculating claim reserves and may include topics such as the following: Relevant Actuarial Guidelines, Studies used to evaluate claim termination experience and reserve margins, Estimation of future offsets, Mortality improvement

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.

Description: In this webcast, we will speak with actuarial leaders who developed their personal brand over several years to better understand just how powerful having a personal brand can be in actuarial work.

Description: This session will cover the regulatory testing requirements issued by Colorado in its SB21-169 regulation, New York Insurance Circular Letter No. 7 issued in 2024, as well as other US States. It will also explore the actual implementation of these requirements on a company using Large Language Model on external data for life underwriting.

Description: Are you ready to supercharge your career? Join us for an exciting webcast where industry experts will share how to leverage mentoring and networking for career success. Discover how these powerful tools can transform your professional journey, provide invaluable insights, and open doors to new opportunities. In this dynamic session, our speakers will share their personal stories and practical tips on building meaningful mentoring relationships. You’ll learn proven networking strategies to connect with influential professionals and accelerate your career growth. Don’t miss this chance to gain insider knowledge from industry leaders and receive actionable advice. Whether you’re just starting out or aiming to advance your career, this webcast will equip you with the tools and inspiration you need to succeed.

Description: Model design is an important part of being an actuary, and the SOA highlights the importance of the actuarial control cycle of model design, evaluation and monitoring. What tools are at our disposal for these steps? When should we be concerned or excited about model performance? Can we, and should we, use machine learning tools to assist with model improvement or development?

Description: There is value in a framework that allows a smooth transition from a qualitative assessment to a quantitative analysis as entities mature in their understanding of climate risk. In this webcast, a case study on climate change's impact on home prices, a topic the SOA published research on, will be discussed along with other perspectives. The goal of this webcast will be for attendees to takeaway knowledge and tools to begin to move toward quantitative assessments in their own fields of practice.

Description: Disability and group life products can pose challenges for the valuation actuary due to the long-tail runout of traditional disability and group life waiver of premium claims, and due to the sensitivity of the reserves to small changes in assumptions. This session addresses a number of issues of interest to actuaries who work with these products, including recent experience trends and the new 2023 Group Life Waiver Valuation Table. Attendees will learn about best practices in the valuation of these products.