Description: Last year, the COVID pandemic significantly increased the pace of change in the life insurance industry, particularly in Accelerated Underwriting (AU). In the past, underwriting process changes occurred relatively infrequently and over a matter of years. Now, with new data sources and predictive models constantly evolving, the frequency of underwriting enhancements and decisioning changes, particularly in AU programs, is occurring every few months. With so much change occurring quickly, how can a company effectively monitor and understand the effects of these changes to make continuous adjustments with confidence and agility? Well-designed data visualizations allow a reviewer to navigate and comprehend detailed results quickly because our brains can process data in a picture format more than 15 times faster than text. Today’s advanced BI tools can make AU program monitoring more efficient and help companies adjust quickly to the results from program changes.

Description: Society of Actuaries (SOA) Research Institute’s Committee on Finance Research (CFR) and SOA Investment Section are interested in an exploration of the impact of Artificial Intelligence on investment professionals from a variety of perspectives. The result of this effort is intended to provide a useful resource for readers to become well-grounded on the issues surrounding the impact of these tools in an investment context and set the stage for future research.

Description: This session will be an “Ask The Expert” panel. Several actuaries who have been involved with major change initiatives as either vendors, consultants, or project leads will offer their perspectives on how to help others manage expectations, adapt as unknowns become known, and deliver new insights to their audiences. Topics will include leading multi-disciplinary teams, reacting to changes in project sponsors and project team members in your absence, and transitioning professionals very set in historical ways of work to new processes. Plus Q&A time from the audience. This session will give actuaries insight into how they can manage the “people parts” of large change projects efficiently and effectively so that they can meet objectives and ensure successful outcomes for their business units.

Description: This panel will take a holistic deep dive on the intersection of pending regulatory, actuarial, and technical developments in artificial intelligence (AI). Panelists will explore how AI and the diverse and evolving regulatory landscape surrounding this technology will impact actuaries' day-to-day jobs in managing risk, and what the (re)insurance industry is doing to leverage AI to streamline internal processes and simplify underwriting.

Description: Hop into a panel discussion between InsurTech Advisory Council and a startup, followed by a demo of life event prediction and analyses with multiple applications across financial services. You will also learn about: the SOA office hours program and member participation, the startup ecosystem filled with incubators, company contests, opportunities and outcomes, how to build a data set providing additional insights for customization and enhanced user experience, and - actuaries' engagement with startup strategic advisory boards.

Description: The SOA Research Institute is seeking researchers to study the application of geospatial imagery, high-resolution imagery, and artificial intelligence in loss estimate analytics and underwriting within the insurance industry.

Description: Navigate complexities of retirement financing considering longevity's impact. Use these tools to help differentiate longevity from life expectancy and avoid outliving financial resources.

Description: For actuaries, finance and IT professionals, the long-duration targeted improvements (LDTI) implementation has been a career milestone. These projects were often the most significant undertaking of individuals’ careers, with respect to scale, complexity and duration. Join this session and participate in small groups, with consideration given to ensure each group has representation from both 2023 and 2025 filers., with moderators presenting questions to encourage small group discussion.

Description: How do you go about designing a new product? Behavioral Science is an often overlooked tool in enhancing product design and using a Discrete Choice Experiment (DCE) can give you insights to customer preferences and their willingness to pay for features. The result of this work is a product explicitly designed with your customers and market in mind.

Description: Actuaries too often get pulled into data management activities, taking them away from the analysis work they enjoy and were hired to do. Without a good relationship between actuaries and IT, this can persist even at companies that have been through finance transformations. Gain insight as we focus on the important relationship between actuaries and IT, and how they can work together on best practices for extracting, managing and using the policy data needed for actuarial models. Join our discussion on a variety of data governance and control practices used when extracting policy data from administration systems. Actuaries and IT must work together to create clear data dictionaries that fully document all steps taken as policy data runs through the exchange, transform and load (ETL) processes prior to being used in actuarial models.