Description: Generative artificial intelligence (AI) tools like ChatGPT will redefine the nature of work across industries in coming years, What does this mean for the actuarial profession? Delivering generative AI tools to actuaries capable of leveraging them effectively will dramatically modernize how actuaries work and contribute to organizational growth. In this educational session, explore how generative AI can accelerate actuarial model development. Gain an introduction to generative AI and its implications for actuarial modeling. Learn how it specifically helps actuaries improve accuracy, reduce errors and save time in model development. Then explore use cases, including how generative AI can improve data cleaning, model building, as well as simulate scenarios and test model robustness. Close with a discussion on how to integrate generative AI into actuarial modeling workflows effectively, including common challenges actuaries may face during implementation and tips to overcome them. You will come away with a deeper understanding of how generative AI can accelerate actuarial model development.

Description: Focus on the importance of achieving complete and accurate technical reviews of work products that contribute to decision making. As actuaries, we often face tight deadlines and the demand is high for our team members to provide results in a timely manner. Through investing upfront time into a quality review of our work product, with an added focus on professional excellence and ethics, overall time savings can be gained and an overall higher quality work product can be achieved, not only of the technical work being performed, but of the decision making that is influenced by the result of the work. At the conclusion of this session, you will be able to understand the value of technical reviews and the methods of preparing for and implementing technical reviews across a team.

Description: How can generative artificial intelligence (AI) be leveraged to transform and modernize life insurance? Gain an overview of AI and some of their current use cases in the industry, including the latest trends in the market. Next, you will learn about the current challenges companies face, including costly underwriting procedures, customer acquisition and retention, and complicated application processes. Finally, explore how generative AI can help address these challenges, improve customer experience and help streamline processes to free up more time for higher-level business insights and other company initiatives.

Description: Dr. Kimberly Harden helps organizations shift from a traditional diversity model to one that emphasizes diversity, interpersonal communication, and talent management. She will discuss topics on bias and how to be your authentic self in the workplace.

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: Join our upcoming webcast led by Dale Hall, Managing Director of the Society of Actuaries Research Institute, who will delve into important considerations for actuaries as they navigate the realm of AI.

Description: "This talk will evaluate the present pace of evolution in actuarial data management due to economic and demographic pressures, evolving regulatory/compliance requirements, AI and the growing need to have advanced analytic capabilities. We will evaluate each factor briefly to isolate their impact on actuarial data management, highlighting risks and opportunities for actuaries and IT teams supporting actuaries. Attendees will gain insights into the factors affecting changes in actuarial data technologies, understand key differences between centralized and decentralized data management approaches, including their impact on data quality, governance, performance, and scalability. The session will highlight some pain points of centralization, such as the integration of actuarial transformation initiatives with IT processes, juggling data complexity and business logic, and the limited creativity and agility due to interdependencies between components and evaluate how emerging concepts such as actuarial data stores tackle the 'centralization' problem. We will also cover a real-life use case covering the evolution of actuarial data management and challenges identified in previous parts of the presentation. The session will avoid going into any specific solution details: it will address current challenges due to broad shifts, then evaluate newer concepts, corresponding risks and opportunities. - Understand key macro and micro drivers impacting actuarial data management - Understand centralized and decentralized approaches to actuarial data management - Evaluate the concept of an actuarial data store - Coordinate better with IT teams to deliver changing actuarial data technology needs"

Description: This panel discussion dives into the NAIC's new principles-based reserving (PBR) requirements for fixed annuities (VM-22) set to be effective January 1, 2026. After a brief overview of the VM-22, this session will focus on practical implementation considerations and adapting cash flow models to the new requirements, tackling sensitivity runs, margin testing, the Stochastic Exclusion Test, and mapping prescribed assumptions for the Standard Projection Amount (SPA) to companies' unique products and features.

Description: Feature article that supports the statement that actuaries who are competent coders will differentiate both themselves and the companies they work for. Coding ability will be useful no matter what tools are utilized every day and all of those tools and communities contribute to moving actuarial processes out of the “Spreadsheet Age.”

Description: New Co-Editor Richard Junker introduces himself and his plans for the newsletter.