Description: Against the backdrop of low interest rates, rapidly expanding data analytic capabilities, and increased consumer demand for better products, many life insurers struggle to innovate their product development initiatives. RGA conducted an online survey in the third quarter of 2018, asking 30 leading life insurance companies in Japan to identify current and future product development trends. A complementary survey of approximately 4,800 policyholders of life products in Japan was also completed in 2018. The findings highlight the product trends for risk, savings and living benefit products being developed, the market segments being targeted, and how insurers are differentiating product offerings through unique features and value-added services. Companies indicated they focused new product development efforts on substandard and standard risk segments, with only 20% pursuing the preferred market. Respondents indicated the Key Performance Indicators (KPIs) being used to measure successful product development are predominantly topline – premium, face amount and number of policies.

Description: Big data, predictive analytics, machine learning and AI will likely transform the insurance market and the actuarial profession. The actuarial profession is seeing changes many markets, including health and property and casualty. This article describes these trends and provides an introduction into what companies and the Society of Actuaries (SOA) are doing to adapt and capitalize on these trends.

Description: The article summarizes 2013 survey results of company assumptions for term products in the post-level period. The focus is on product design, shock lapse assumptions, and mortality deterioration assumptions. This article features highlights from the larger SOA-sponsored research project on this topic published in 2013 that compiled end-of-2012 assumption data from 41 companies. This content may prove useful to product development actuaries as they consider their current post-level term assumptions.

Description: Actuary Dave Dillon describes his role volunteering his time as a teacher in higher education, including the rewards and challenges that teaching offers. He discusses the importance of being attentive to his audience’s pre-existing knowledge and adapting his presentations accordingly. His work as a teacher typically encompasses three distinct domains: 1) acquainting young students with the actuarial profession, 2) educating non-actuaries about public policy issues related to health insurance (including the Affordable Care Act), and 3) instructing current actuaries on advanced methodologies and principles within the field. Recently he taught a health insurance course for actuarial science graduate students at Georgia State University and lectured at Boise State University’s master's program in Population & Health Systems Management. In every teaching and mentoring opportunity, actuaries can contribute to the expansion and prosperity of the profession and are encouraged to pursue these endeavors.

Description: We explore the question of how an actuary–artificial intelligence collaboration might look in the future and how actuaries should be trained to best leverage this technology. It felt fitting to accomplish this through a conversation with an AI system, as AI involvement is warranted to ground the analysis in the technology’s true capabilities.