Description: The purpose of this article is to discuss potential issues and considerations that may be encountered with the implementation of VM 20. Crucial considerations include the modeling software used, validation effort, assumptions used, complexity of the process, documentation, and run time. A key takeaway is that an integrated modeling platform with solid automation and asset-liability capabilities is imperative for addressing the issues and considerations encountered.

Description: Describes the methodology of conditional stochastic pricing.

Description: Defines Accelerated Underwriting programs as a transformational trend, and outlines a process for evaluating mortality implications of such programs.

Description: International case study discussing an innovative distribution method in India.

Description: This article discusses the development process and the impact of implementing levelized commission products.

Description: International case study discussing life insurance in Ghana.

Description: The Life Insurance industry is undergoing significant change and the Product Development Section provides our members with tools to help navigate this change.

Description: This article presents new funding instruments for equity-indexed life insurance and annuity products.

Description: Compares how other industries (in this case, Fast Food) researches and tests new products. Provides examples of how the insurance industry can efficiently research and test new product concepts before going to market.

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?