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: This article highlights the findings of a recent SOA survey on accelerated underwriting (AU) practices, including the amount of AU business ceded, the results of three opinion questions, and an estimate of mortality slippage among AU programs.

Description: The current coronavirus pandemic has caused a number of challenges for life insurers and this article summarizes the operational challenges, namely in two areas. First, the article will discuss the challenges companies are facing to collect traditional underwriting evidence and potential short-term solutions used to overcome these limitations. Second, the actions companies are taking to alleviate the financial difficulties customers may have paying premiums will be addressed.

Description: In this article, we discuss the future of wearable technology in life insurance. Evidence from recent research shows that low levels of physical activity, as measured by steps per day indicate much higher mortality risk while higher levels of activity correspond with lower risk. The article shares insights of how insurers can use wearables to innovate by improving the customer journey, expanding insurability, engaging customers, promoting healthy lifestyles and improving risk assessment. Lastly, we discuss the challenges and considerations when using new data and technology to ensure success.

Description: Description and welcome to the 2020 Canadian Reinsurance Conference including highlight of the key note speaker

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