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: Health insurance company assets and liabilities have evolved since the Patient Protection and Affordable Care Act (ACA) was signed into law in March 2010. The ACA fundamentally rearranged how commercial health insurance is funded by integrating federal premium subsidies and pass-throughs together with a marketplace interwoven with transfer payments among stakeholders. The impacts of these programs can be seen in specific accounting items on the balance sheets of health insurance companies over the past 10 years. Their emergence follows three primary trends: (1) balance sheet items tend to be larger and take longer to settle, (2) there are more interactions among items, and (3) the final settlement amounts are more uncertain.

Description: Read the August 2020 issue of Product Matters! published by the Product Development Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: The hybrid Life/LTC and Life / Chronic Illness market is an exciting market that is in its relative infancy. There are many new companies that have just entered, or are considering entering, the hybrid market. Hybrid sales have grown tremendously over the past decade and are still going strong, with annual premium revenue estimated to be above $4 billion per year. The young issue ages for these products, relative to when LTC benefits are paid, means that the claim experience in the industry for these products is still very limited. Additionally, there are many moving parts to these products that present correlated risks and assumptions. The new entrants to the market, limited experience, and the interactions of risks create an environment equipped for vibrant discussions on the product structure, risks, assumptions, and considerations for modeling these hybrid products. The presenters would provide insight into each of these topics through a conceptual discussion, supported by observational data from case study projections and sensitivities.

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: Presenters will provide a quick recap of the activities of the Modeling Section over the past year and explore plans going into 2020, including specific attention to areas of interest within the Modeling Section's mandate, such as model governance and model efficiency. Open discussion and audience interaction is encouraged to help the Modeling Section Council continue their development of new activities and find new areas of interest to section members. This breakfast is open to all meeting attendees free of charge. If you plan to attend, you must register in advance.

Description: Digital Long-Term Care Insurer for the Post-Coronavirus World.

Description: View CFE-FD Exam Case Study - Spring 2020

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.