Description: In this interactive forum, presenters will share best practices to get the most out of your AU program. Explore trends in regulations, big data tools and predictive models. Case studies will be used to illustrate how monitoring results can provide actionable information for management to update programs and what it all means for accelerated underwriting programs. Attendees will come away with a better understanding of how tools are evolving, regulatory trends and best practices for explaining decisions to applicants, as well as targeted changes to accelerated underwriting programs

Description: Big data and predictive models have disrupted the life insurance new business and underwriting processes over the past few years. How did we get here? What does the future hold? This session will review the lessons learned from the evolutionary process and discuss what the potential next steps are in this journey. Are real time fully underwritten decisions an achievable goal?

Description: Regulators observed a wide range of practice from early adopters of PBR in regard to the treatment of non-guaranteed reinsurance and adopted a formulaic solution on an interim basis for the 2020 Valuation Manual. A field test, supplemented with additional analysis performed using a model-office approach with representative models, is being performed over the first half of 2020 to inform regulators as they select a longer-term solution. This session will provide an update on this important issue as well as perspectives on how the resolution of this issue was approached and lessons learned for the future from those intimately involved in this work.

Description: The presenters will share information about: -Insights into causes of death through the use of predictive models, based on a reinsured U.S. life portfolio, using logistic regression models to understand three main causes of death: cancer, heart and external causes; -Opioid abuse is a widespread phenomenon with drug-related mortality rates rising steeply in the U.S. over the past two decades. But what does the most recent data tell U.S. about the outlook for Opioid-related mortality?; -'Deaths of despair' have been publicized as a cause for the poor performance of U.S. mortality in recent years. The presenters will be looking at the different causes under this label, their evolution and explore the drivers behind them.

Description: This article summarizes five key lessons we have learned in implementing LDTI and shares our insights on practical ways to address them. This is not an exhaustive list of implementation challenges, but companies that can successfully tackle the issues we describe should have a smoother data and systems implementation transition.

Description: This article describes the current Nigerian Insurance Industry.

Description: Read the April 2019 issue of Product Matters! published by the Product Development Section.

Description: Key findings from Milliman's 2018/2019 UL/IUL survey. Provides benchmarking for UL/IUL competitors relative to trends in the industry.

Description: Read the August 2020 issue of Product Matters! published by the Product Development Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: This article explores trends and methodologies in the Secondary Insurance Market as well as associated opportunities and pitfalls for actuaries.