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: The article summarizes results of a Milliman survey per the title. These products comprise about 40% of the total individual life market, and the survey covers a range of topics on these plans, which should be of interest to a large portion of the life industry.

Description: Ways of closing the mortality protection gap, by leveraging some of the new technology, data and analytics to reduce the friction in the buying process.

Description: A discussion of how patents can be used to recover the cost of innovation in product development and operations

Description: Written in reaction to the AG49-A "quick-fix" passed, this article covers the history of IULillustration regulation. It begins by covering major product development and regulationmilestones to date, with numerical examples to show their impacts on illustrations. It thenexplains how the "quick-fix" works and what its impact on illustrations is. Lastly, the articlelooks forward to what could be in store in the future for IUL illustrations.

Description: A discussion of adjustments to the issue and underwriting process to speed up the process in order to succeed with bank distribution of insurance products.

Description: A review of the unique product needs of the senior market and how distribution can work to meet them.

Description: As we further explore how life insurance customers think and behave, we can address their needs more effectively. Using data and predictive analytics we can better identify groups to target. By embracing technology and approaching customers with the right distribution channels based on preference, we can make life insurance more accessible. We can speak the customers' language. We can understand that they are not all created equal, and tailor products to meet individual needs. In short, we can leverage data, research and technology to become very consumer centric. Getting closer to the customer, can we lower the perceived cost, and raise the perceived benefit of life insurance to a point where customers get excited? Will this not then be a product to buy, not sell?

Description: Discussion of the current state of U.S. individual life insurance new premium sales.

Description: Discussion of work site mortality— including risk classification and underwriting methodology decisions which affect the appropriate mortality assumptions