Description: After International Accounting Standards Board (“IASB”) issued International Financial Reporting Standard No. 17 – Insurance Contracts (“IFRS 17”), IASB received much feedback and suggestions for improvement. As a result, in early 2019, IASB made limited changes to IFRS 17. The presentation will briefly discuss the main contents and effects of those changes.

Description: Feature article discussing the benefits of using spreadsheet controls.

Description: Editorial for the October 2019 issue of CompAct describing the issue's contents.

Description: Feature article discussing the power of psychosocial data.

Description: Feature article discussing model runs through in-force data compression.

Description: On July 17, FASB announced a deferral of the compliance deadline for the new Long Duration Targeted Improvements (LDTI) guidance: “a one year deferral for larger SEC filers and a two or three year deferral for all other entities.” This article highlights the opportunity for companies striving to comply to modernize in light of this deferral, and it provides a few specific suggestions to companies who pursue this path.

Description: A discussion of techniques that can help manage model risk and complexity.

Description: LDTI’s introduction has forced many insurers to examine their existing operations and technologies. They must determine how to optimize compliance efforts while balancing data, analytics and system modernization considerations to achieve maximum value. This article will examine the four key facets—the data, technology, processes, and people—essential to any successful LDTI exercise. It will also touch on the various approaches for tackling LDTI and how a modernization mindset can help insurers realize much greater transformation for the business.

Description: Machine learning models have many practical applications in the world of insurance. These applications are well documented and most actuaries, at least at a high level, are familiar with these concepts. The presenters will take this one step further and provide an introduction to the theoretical formulas and real-world considerations that make machine learning models possible.

Description: This article introduces IT DevOps to actuaries and how it is applicable to them to improve their modeling efforts and make them more efficient.