Description: How do we take a Minimum Viable Products (MVP) approach to launch new insurance products? Join this moderated discussion and focus on three key development aspects: Distribution, Systems, and the design and pricing of the Insurance product itself. Come discuss reasons to choose an MVP approach and how it solves many of the product launch challenges.

Description: Welcome to the future of insurance, for actuaries and non-actuaries! Discover how cutting-edge AI models are revolutionizing underwriting, risk assessment, and customer experience for the insurance industry. Experts in management consulting and actuarial consulting firms will provide valuable insights into the consideration and challenges surrounding the adoption of Generative AI.

Description: Come learn from a panel of LTC industry professionals as they discuss setting goals for LTC wellness, measuring success of the programs, and integrating them with other LTC process (e.g. assumption setting) in an effort to create sustainable programs.

Description: "Most patients enter the health care system through their primary care provider or through the Emergency Room or an Urgent Care Center. How an emergency room is structured, managed, and provides care is one of the major forces impacting the total cost of care. Yet it is often an after-thought and ignored by both health plans and health systems. In reality, the structured introduction of efficient practices can substantially reduce the quantity and cost of health care services. Further explore useful information to better understand and see how there are still substantial opportunities for improvement."

Description: The momentum towards value-based care has increased focus on how payers attribute accountability for the cost and quality of member care to providers. The current landscape has a myriad of methodologies and accountable parties. Examine the ideal future state of attribution discussing trade-offs in goals (e.g., population coverage vs. member influence), accountable parties (e.g., should third-party vendors be involved?), and methodologies.

Description: As the size of the life reinsurance market in Bermuda has grown to over half a trillion dollars at the end of 2021, more and more actuaries are getting involved with this 21 square mile North Atlantic island in one way or the other. Come explore a fundamental understanding of the Bermuda solvency framework and an overview of its upcoming changes.

Description: Future-Proofing Retirement: Technology, Longevity, and Actuarial Solutions

Description: Explore key findings of an SOA-funded research paper on telehealth that will be published in 2023. The COVID-19 pandemic initially caused some health care delivery to shift away from in-person transactions to a more digital form of transactions, including telehealth, e-mails, remote patient monitoring and other forms of communication.

Description: Focus on how innovative health care organizations develop their value proposition for their intended buyers. Presenters will share information about their specific solution and the methods used to derive credible savings estimates, ROI, and performance guarantees. Learn about data utilized, the methods deployed, advantages, disadvantages, and buyers' reaction. This session is expected to be technical, highly informative, and interactive with audience members.

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.