Description: This essay collection examines how changing family dynamics shape retirement security, offering insights on demographic trends, policy design, and actuarial strategy—because retirement is the ultimate family affair.

Description: Seeking researchers to analyze long-term risk trends via survey data and develop engaging report formats for broad audiences.

Description: Learn how medical coding, claims, data-sourcing and more are relevant to actuarial work in the health care field when you sign up for this SOA e-course.

Description: Understand the role of food based interventions in health care. Learn the difference between produce prescription and medically tailored meals. Review new policies that will affect Medicare and Medicaid populations. Evaluate the possibility of health cost savings due to these interventions.

Description: Learn from panelists from different companies as they come together to discuss their experiences.

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: A project approached correctly has a higher chance of succeeding and being more efficient. Goal-setting is one key to a successful project. In this lecture we give a more detailed description of good goal setting and avoid ambiguous catchy terms.

Description: Understanding Asian Capital Regimes

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.