Description: Prescription drug affordability remains a critical concern for consumers, payers and policymakers alike. This paper discusses an alternative to policy solutions: reimagining commercial pharmacy financing using a value-based reimbursement model to increase transparency, encourage pharmaceutical competition, align stakeholder incentives and mitigate total cost of care (TCOC) increases.

Description: Become informed about the approach and adverse effects of the regulation of third parties and advance consent by the proposed NAIC Consumer Privacy Protection Model Law #674. You will hear an explanation of the regulation of third parties through their contracts with insurers. Learn specifics on the negative effect on companies contracting with third parties. Find out more about the requirement for advance consent for use of personal data for actuarial and marketing studies, and hear two potential solutions .At the conclusion of this session, you should be able to explain concerns about contracting with third parties for external data under the Model Law and learn potential solutions to using personal data for actuarial and marketing studies.

Description: Creating a predictive model is one thing, but then taking that model and getting full stakeholder buy-in is another. Learn from presenters' experiences and insights on proving model effectiveness in the long-term care (LTC), life and annuity spaces. Explore various topics such as feasibility, model transparency, fairness and equity, ROI measurement, data assets and compliance, infrastructure and more. By the end of the session, you will gain an understanding of how to navigate the challenges of proving the effectiveness of predictive modeling and obtaining management buy-in.

Description: Operationalizing Generative AI for Actuaries

Description: Watch a Family Feud Professionalism where two teams of actuaries will compete to name the most popular answers to professionalism and ethical survey questions. Fantastic prizes will be available for the winning team who could guess what our surveys of hundreds of actuaries reveals regarding their view on ASOP, Code of conducts and ethical conundrums.

Description: Over the past three years, we have seen technology take hold of consumerism, becoming the key operational component to remaining competitive in an increasingly digital marketplace. In the insurance sector, today's consumers want digital, personalized solutions for all of their needs, and they are willing to offer up personal information in exchange for more personalized coverage that is based on their behaviors and lifestyle choices. If insurers want their products to be recognized as an essential in the virtual 'wallet' of Millennial consumers, they must re-assess their digital service strategy with an emphasis on customer service and rewarding the consumer. Participate in this session to explore consumer trends in the life insurance industry. You can also join the discussion about the key facets of a successful digital solution, based on the digital service strategies of current market makers who have capitalized on the boom of custom apps, social media sites and other digital distribution channels to market their products to Millennials.

Description: The U.S. life insurance industry has been increasing its exposure to complex assets, either directly as investors or via offshore reinsurance (e.g., Bermuda). In order to address regulatory concerns about such investments and reinsurance arrangements, the NAIC has begun multiple initiatives to improve disclosure and strengthen regulatory requirements, and the Bermuda Monetary Authority is also strengthening its requirements. Hear a summary of these initiatives, and get an update on the latest developments at the NAIC and at the Academy on these topics.

Description: This data request is for a study focusing on surrender/lapse, withdrawal, living benefit utilization, annuitization, and premium deposit experiences. The study aims to provide detailed analysis and insights into fixed indexed annuity contract activities.

Description: Stefanos Orfanos shares his perspective and priorities for this year as the incoming chair of the SOA Education and Research Section.

Description: Data science is being used to create more algorithms used across a variety of applications, including underwriting and pricing. As data science gains traction, it is imperative that we as actuaries consider the ethical implications of use of these algorithms. This session will discuss techniques for evaluating whether your algorithms are inadvertently making biased decisions and considerations for ensuring that your algorithms minimize risk of making biased decisions. Learn to identify potential ethical issues with their algorithms and techniques to address them.