Description: Technology has streamlined countless processes in our daily lives, and insurance is no stranger to this transformation. Technology can make insurance simpler and more personal for consumers, and can enable actuaries to better analyze unstructured data, make good decisions, create new products, and find channels to enhance profitability, provided they can tame the flood of information pouring in from across the digital ecosystem.

Description: A look at the near future and far future of various elements of Actuarial Models as defined through ASOP 51. What is driving the complexity for inputs, calculations, and outputs. Howe will actuaries handle these challenge?

Description: This article explores recent regulatory developments, in the U.S. and the E.U. related to artificial intelligence, and briefly discusses steps insurers can take to get ahead of the curve.

Description: In this article, Aneesha Deshpande examines how Hagerty's complementary business models- specialty insurance and automotive lifestyle and membership services- are a result of a deep understanding of customer needs.

Description: In this article, I will outline the key tools that are found in a digital marketer’s toolbox, briefly explain the broader digital marketing ecosystem, and outline how digital marketers leverage these tools to attract and engage customers within this ecosystem. The goal of this article is to help actuaries in all areas gain a basic level of familiarity of the world of digital marketing, so they can apply this knowledge to product design, systems design, and business valuation.

Description: This article provides an overview of activities that should be considered by an actuary when validating a predictive model. It describes several components to consider when validating a predictive model and provides an examination of various methodologies that can be implemented in the validation process.