Description: This is a letter from the editor. This issue completes his first year as editor.

Description: This article is about the critical role of actuaries in IT projects.

Description: This article celebrates the tremendous progress that has been made in automating reinsurance data. It also looks at remaining issues, such as a lack of standardization, and challenges presented for the future.

Description: Cognitive tests used in the long-term care insurance industry differ in cognitive domains tested, time required for testing, ease of test administration, sensitivity and specificity. Recently, new approaches to scoring or testing have improved test utility for screening for cognitive impairment.

Description: Perhaps readers will send us additions to the following short list of events in the mathematical world associated with years ending in the digits 82. These are taken from IBM’s history chart, “Men of Modern Mathematics.”

Description: This article explores the disruptive applications of blockchain, an emerging technology, and its impact on the pharmacy benefit space, and pharmacy benefit managers (PBM).

Description: Editor’s Corner Technology Improves Our Lives

Description: This newsletter provides a regulation outlook for the use of AI/ML in insurance industry, interpretations of regulatory expectations and what insurers should consider when managing risks associated with the development, implementation and use of AI/ML models/tools.

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: Feature article discussing ethical issue that may arise in an automated decision-making model.