Description: This session will explore governance considerations for insurance carriers leveraging machine learning models. During the session, panelists will share insights on the evolving predictive model and AI regulatory landscape, as well as techniques for developing or enhancing AI governance frameworks that comply with emerging regulatory guidance.

Description: Modern actuarial work, being quite data intensive, provides many opportunities for actuaries to use the statistical skills that are part of their basic training. Furthermore, modern computing allows us to analyze vast quantities of data intensively, and each package will provide statistical 'answers' to any questions the actuary might ask of it.

Description: Predictive analytics and technology have dramatically enhanced insurers’ ability to write Life Insurance policies without the need for medical exams in the past 10 years. Rapid, remote access to richer, digital health data has helped better identify higher risk individuals and capture anti-selective behavior, allowing policies to be issued at rates more competitive than traditional guaranteed issue products. Yet this underwriting technology is still new and rapidly evolving, challenging insurers to develop appropriate assumptions for new issues as well as the valuation of in-force blocks.In this session, we will look back at mortality and persistency experience data gathered in Oliver Wyman’s industry-wide VM-51 experience study, one of the most comprehensive data sets to include limited underwriting business in recent years. We will see how experience held up against expectations, and what possible trends we see across various policyholder characteristics. We will then zoom in on the impact of risks that would be considered uninsurable from a full underwriting perspective, and the impact that these lives are having on in-force blocks from a valuation perspective. Finally, we will look forward, examining some of the newest innovation in the limited underwriting space, as presenters discuss methods and considerations for the validation, assessment and implementation of new underwriting offerings, such as Milliman Risk Score and LabPiQture™.Attendees will enhance their understanding of the impact of underwriting changes over the past decade, as well as have a view of how things may change in future years as the industry becomes progressively more capable of assessing risk without the need for medical exams.

Description: Modern Actuarial work, being quite data intensive, provides many opportunities for actuaries to use the statistical skills that are part of their basic training. Furthermore, modern computing allows us to analyze vast quantities of data intensively, and each package will provide statistical 'answers' to any questions the actuary might ask of it. However, in this particular field, it is often worth taking a step back, and ensuring that we recall and consider the warnings that come with each of the statistical procedures we might attempt to use. This will allow us to ensure that we guard ourselves against drawing inappropriate conclusions, which could come back to haunt us later.At the conclusion of the session, attendees will be able to avoid drawing inappropriate statistical conclusions, while doing their work. They will leave informed about the types of pitfalls that exist, and where those might come into play in actuarial work.

Description: This session will cover everything you've wanted to know about GLMs but were too afraid to ask. How do these generalized models relate to the plain linear regression, and how can we be sure that the models we implement are appropriate for the task at hand?

Description: The insurance industry hinges on accurate actuarial assumptions. This session explores how insurers can leverage AI/machine learning (ML) to unlock greater accuracy and granularity in assumption setting, while effectively managing risks, implementing strong governance frameworks, and meeting validation expectations from regulators.

Description: Have you ever struggled to make business decisions because your internal mortality studies lack credibility? Have you ever launched a new product or initiative and wanted to understand mortality risk before claims experience emerged? This session will discuss how predictive models can help actuaries enhance their traditional mortality studies with leading mortality leading indicators to be more nimble to market demands.

Description: The importance of storytelling in financial communication and its role in conveying complex financial reporting results and insights to diverse stakeholders cannot be denied.