Description: This article focuses on the TCJA’s changes to the provisions for net operating losses (“NOLs”) and highlights some of the challenges surrounding the NOL provisions that insurance companies may face when making business decisions around reinsurance agreements.

Description: Review of events and highlights from the Spring 2019 SOA Health Meeting in Phoenix, AZ.

Description: The Product Development Section, the Financial Reporting Section, the Modeling Section and the Committee on Life Insurance Research are pleased to present new research on modeling and forecasting cause-of-death mortality. Authored by a Milliman team led by Alexandre Boumezoued, the report develops a framework for forecasting cause specific death rates. Included also is a Cause of Deaths Forecasting Tool and a user guide for the tool.

Description: Natural Language Process (NLP) techniques can be used to find insights in large unstructured data sets and Word Embeddings are pervasive on a wide spectrum of NLP applications. These word representations improve downstream tasks such as Sentiment Analysis, Recommender System, and Topic Modeling. Learn how NLP transforms the Insurance Industry; and how word embeddings and pre-trained models improve the effectiveness and performance of NLP applications. NLP is increasing in importance for insurance companies. Additional application examples are available in session 36.

Description: This article is an update, as of March 2019, on Financial Reporting Section sponsored projects in process and those recently completed.

Description: This session will look into life insurers’ anticipated business impacts as a result of the implementation of the new accounting standard for insurance contracts, IFRS 17. What will be the financial impact as of day one as a result of transition? How will embedded value for common life insurance products change? How will costs of reinsurance be affected? Will products have to be re-designed and/or re-priced? IFRS 17 may have more ramifications into the way insurers are doing business than we have anticipated so far. While we are working on the implementation of this new standard, we should not lose sight of the business impacts that will follow. At the conclusion of the session, attendees will be able to: Understand key impacts of the transition to IFRS 17; See illustrative examples of the impact on embedded value; and Understand key impacts on product design and pricing Country Relevance: US and Canada

Description: The article highlights the key components of the PBR resource manual and analyze its implications for companies' assumption management practice.

Description: This article is an update, as of September 2019, on projects in process and those recently completed.

Description: Critical Illness Insurance is one of the fastest growing insurance products available today. Carriers continue to introduce innovative approaches in second, third, and fourth generation products while refining their pricing, underwriting, and claims adjudication processes. This session will look back at historical trends using Gen Re's longstanding, comprehensive Critical Illness Market Survey, and look forward to potential market changes to occur in the next 18 months.

Description: Discussion of machine learning applications currently being used to augment traditional actuarial modeling in the life insurance industry. This includes data science techniques for: Quantifying and explaining differences between model versions or reporting periods Building proxy models for actuarial model output using machine learning One-class classification for data integrity checks Applications of unsupervised learning (e.g., clustering and principal components analysis) to reduce model run time