Description: In recent years, vast amount of data from emerging experiences has helped insurers gain a deeper understanding of their policyholders and the factors driving their behaviors. However, due to limitations in traditional experience study methods, this understanding typically remains at the cohort level. This series of articles proposes a novel machine learning-based model that analyzes and predicts policyholder behaviors at the individual policy level. Policyholder embedding representations are learned using a Recurrent Neural Network (RNN) that takes into account the sequence of historical transactions associated with a policy. Additionally, a Neural Network with a multi-head architecture is trained to predict the policyholder's next action based on the policyholder embedding and other policy attributes. The resulting model offers several advantages over traditional experience studies and assumption-setting methods, including the ability to set policy-level assumptions that improve reserve accuracy, predict multiple behaviors simultaneously while capturing the interrelationships between them, and generate policyholder embedding representations that are useful for segmentation.

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: A real life situation is posed involving a management, leadership, or other business decision, and readers are invited to submit their responses to "What Would You Do?" This issue’s case study involved a communication and mentoring issue.

Description: This article details the medical stop-loss coverages purchased by HMOs, small insurers and providers taking delegated financial risk in payor agreements. Along the way we will identify strategies purchasers often use to save money on medical stop-loss.

Description: As actuaries, we’re trained to see patterns in numbers and to design solutions that mitigate risk. But I can tell you from experience that while quantitative analysis and modeling are critical actuarial tools, looking at the numbers alone can lead to insurance products that don’t succeed in the real world the way the math says they “should.” With new digital technologies, we have more data at our fingertips than ever before, but I believe it’s equally as important to bring qualitative research methodologies into your product development process if you want to design solutions that meet real needs in the market. In this article, Amanda Turcotte shares what happens when qualitative research is neglected or ignored, what happens when you incorporate it into the product design process, and how to implement qualitative research practices in your organization.

Description: This article delves into the transformative realm of Business Intelligence (BI) tools. We explore the fundamental functionality and structure of these tools, and through case studies illustrate how they offer valuable insights into carrier experience and underwriting dynamics. From real-time data visualization to in-depth data analysis, discover the essential features that empower businesses to make better informed decisions.

Description: An overview of key considerations for benefit triggers in critical illness products

Description: Stefanos Orfanos shares his perspective and priorities for this year as the incoming chair of the SOA Education and Research Section.

Description: Climate risk modeling is taking center stage. With businesses increasingly expected to show how they assess, adapt to, and mitigate the risks of climate change, companies are asking: What is the right climate risk modeling approach for our business?

Description: This month, Expanding Horizons had the opportunity to interview Tim Boonen, the winner of the Society of Actuaries’ (SOA’s) second Actuarial Science Early Career Award.