Description: It comes as no surprise that there has been a great deal of activity by regulators in trying to understand the evolution of UW and the use of data. CO, WA, DC, CA, and on and on. But, where are we now? What is the latest activity? What are the technical issues that need to be considered? What testing protocols should carriers be preparing? How do you know what to look for with respect to fairness concerns? How do you prepare your company to test and if necessary defend your data practices? Join this panel discussion, where they will bring varying perspectives from some of the industry's leading voices on this topic.

Description: In this session, actuaries and data scientists will describe how the Cleveland Clinic has utilized large language models to support caregivers with difficult end of life conversations with patients and their loved ones. While artificial intelligence is often prefaced with words of caution, it can also be harnessed for good.

Description: SOA predictive analytics certificate program provides strong theoretical background and practical, hands-on experience that can be applied to decision making

Description: This is a collection of essays from the Society of Actuaries Research Institute, focusing on the potential impact of AI on human longevity and its consequences for modeling future survival/mortality. It includes various essays discussing AI's role in mortality modeling, life expectancy, and implications for actuarial methods.

Description: Attend this webcast to learn more on how to navigate managing ESG principles in the new normal of a post-COVID world. Enhance your ESG insights in a post-pandemic landscape.

Description: Almost half of recent FDA approvals have been for orphan drugs. This trend is expected to continue in 2023. Orphan drugs are priced more than 30 times higher than non-orphan drugs, therefore their cost burden in aggregate has the potential to overwhelm the budgets of payers, especially that of smaller health plans. Hear how the cost impact analysis for smaller health plans require different considerations than for a larger health plan when modeling the impact of rare diseases.

Description: Reunite with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, IFRS 17, product strategy, cross-border communication and discussion, and more. Advance your career through learning and networking opportunities, and share your experiences in the finance and insurance industries, as well as other fields related to actuarial science.

Description: First article in a series that walks through the progression from developing LTC assumptions using traditional methods to doing so using predictive analytics.

Description: This article describes methodologies for detection and deterrence of Medicare fraud. It also describes the validation of PRIDIT for fraud detection in Medicare.

Description: Many life and health insurers are beginning to use Predictive Analytics (PA) for a variety of purposes. This article addresses the unique challenges and potential disruption PA brings to the risk manager, as well as the opportunities.