Description: What would happen when the use of computerized two-digit date fields used through all of the latter half of the 1900s encountered the date 01/01/2000? No one knew. As Jan. 1, 2000, drew closer, self-preservation forces, competition, liability shifts, and disclaimers heated up essentially across all commercial sectors. The contemporaneous documents of those pressures tell a story about those who did not know the outcome of the Y2K issue, primarily as related to liability, risk and insurance. In this exciting article, Nancy P. James, Licensed Insurance Adviser and Y2K expert, shares the untold story of risk and insurance at the dawn of the Millenium.

Description: A three-minute neuroscience-based image exercise is able to accurately unlock the emotional state of individual employees, permitting prediction of a host of specific needs. Actuaries can use this quantitative information at scale to target resources, benefits, and supports to increase the objective wellness and subjective well-being of workforces.

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: This summary of presentation given at the 2019 Annual Meeting covers a personal perspective on factor behind innovation in insurance. Four key themes are discussed: 1. Customer focus 2. Value of partnerships 3. Experimentation 4. Obstacles to innovation

Description: The momentum in value-based care has produced an opportunity for actuaries to become pioneers in health care

Description: In the evolving realm of healthcare actuarial practice, value-based contracts are reshaping the landscape. This article explores the pivotal role of AI-enhanced Electronic Medical Records (EMRs) in empowering actuaries to navigate this dynamic sector. Despite challenges in data standardization, AI-enhanced EMRs offer a solution by extracting and standardizing diverse medical records. The article delineates how AI-EMR integration benefits actuaries and provider organizations, enabling more accurate forecasting, earlier shared savings prepayments, and real-time quality metric aggregation. Moreover, it discusses how this fusion addresses historical data limitations, can help project catastrophic claims, and can help identify risk score capture opportunities. Ultimately, it indicates the transformative potential of AI-EMR synergy, positioning actuaries at the forefront of healthcare analytics with unprecedented precision and insight.