Description: Claims are insurers deepest and richest transactional data – yet we rarely unleash the full potential of this data. In this session, we will discuss potential sources and attributes of claims data, traditional approaches alongside new analytic techniques and how to integrate models into existing claims management processes. During this session, the presenters will discuss different areas of how machine learning can drive significant value unleashing the potential in claims data, these include data capture, claims management and workflow design as well as behaviour prediction. In addition, the audiences will also have opportunity to learn different use cases of how claims models taking advantage of machine learning, such as foreign death fraud detection and critical illness triage.

Description: The insurance industry is in a constant state of transformation. As organizations adapt to the effects of COVID-19, undergo modernization efforts and implement new technologies, soft or “human” skills are becoming key differentiators for success. Skills such as communication, empathy, storytelling, leadership, problem-solving and more are separating the good from the great actuaries. Those who possess these skillsets can better translate data and most efficiently leverage systems and teams. At the same time, by taking a human approach to modernization efforts, leaders will be able to best engage and motivate their workforces, while building teams that will excel in the future of work.

Description: The presenters will cover the latest research undertaken by the Individual Life Experience Committee (ILEC). With several years of very robust individual life insurance experience data accumulated through the mandatory Statistical Agent data calls, this vast amount of data allows for various deeper dives into specific segments of business, such as large face amount, older age or juvenile. Speakers will cover studies the committee is currently involved in, future planned efforts, and results from a variety of sub-segments of business. Attendees will learn about emerging statistical techniques in scrubbing data, more refined quintile-grouped data segments, and interesting ways of conceptualizing how A/E results have changed from year to year. There will be something for everyone!

Description: Future mortality improvement is an important assumption in the valuation of life insurance and annuities. In this session, presenters will discuss the work of the Mortality Improvement subgroup of the American Academy of Actuaries’ Life Experience Committee and the Society of Actuaries’ Preferred Mortality Oversight Group Valuation Basic Table Team in developing mortality improvement scales for AG-38 and VM-20. In addition, two recent SOA efforts on mortality improvement will be examined. Research on developing a broader framework for modeling mortality improvement assumptions is being developed to enable U.S. actuaries additional ways to follow a consistent approach across a variety of actuarial practice applications. Results from a study on U.S. population mortality by socioeconomic category and how it fits into the broader consistent framework will be presented. Additionally, results of a survey on mortality improvement practices of life insurance companies and reinsurers in Canada and the U.S. will be shared.

Description: While our ability to access and analyze large quantities of data is better than ever, many long-term products suffer from sparse data in critical risk areas, such as deep in-the-money lapse experience and long-term utilization rates for income guarantees. The presenters will explore industry-level annuity experience data for these types of situations, and discuss quantitative approaches to addressing them in pricing and other applications.

Description: This session lays the foundation for understanding the current workplace landscape and expected changes over the next generation, including the new gig economy. The material will provide an understanding of the relationship between the workplace and insurance, beginning with a macro view of the job market of the future: which jobs are growing, which are shrinking, and which are likely to be completely replaced by technology? The overview includes a brief presentation of Munich Re's research on the changing landscape and the effect on worker well-being and finance.

Description: This session will highlight the mortality experience of a large set of private pension plans in the United States for experience years 2010-2014.

Description: This session meets the needs of life insurance actuaries who are focused on experience studies, assumption setting, and/or product development. The presenters will use industry data to illustrate how policyholders react to product design, such as premium jumps in the PLT period and UL with high interest rate illustration, and trends in the life insurance market, including the introduction of smoking distinguished rates and the shift towards an increasing number of preferred underwriting classes.

Description: The presenters will provide an overview of the Canada Pension Plan (CPP), its financial status, recent changes and trends in utilization of the program.

Description: The management of the investments of an insurance enterprise has undergone a considerable evolution since the pioneering work of Redington in the mid 20th century. Best practices have evolved to incorporate ever more complex insurance liabilities, expanding investment asset classes and global market opportunities. Strategic asset allocation (SAA), liability driven investing, and other robust optimization approaches form the core of the professional management of insurance company investments.