Description: This is the first of two articles discussing technologies used to control data. this article covers data management strategies.

Description: Feature article that contends in order for actuaries to thrive, technology needs to be central to company strategy and actuaries should view coding as a core competency—equal to or more important than other “traditional” skills.

Description: LDTI’s introduction has forced many insurers to examine their existing operations and technologies. They must determine how to optimize compliance efforts while balancing data, analytics and system modernization considerations to achieve maximum value. This article will examine the four key facets—the data, technology, processes, and people—essential to any successful LDTI exercise. It will also touch on the various approaches for tackling LDTI and how a modernization mindset can help insurers realize much greater transformation for the business.

Description: Machine learning models are not black-boxes; these models can easily be interpreted using tools like SHAP, LIME and Anchor. These tools can facilitate the understanding of the model and the business problem. We can used these tools to build better models and communicate how predictions are generated. This article demonstrates their use in a mortality model.

Description: Feature article discussing ethical issue that may arise in an automated decision-making model.

Description: This article is a brief overview of what digital health is, how it is regulated, and who some of the big unicorns are.

Description: Innovative solutions are necessary for insurers to: • Meet customer needs, • Better collect and process data, • Improve risk assessment and underwriting .

Description: Editorial describing issue’s contents.

Description: First part of a four-part series about clarifying data terminology.

Description: This abstract describes studies that further the understanding of risk surrounding automated vehicle technology.