Description: Mindful data visualizations show the end users the end way in how to analyze and interpret your data. More importantly, they can then use this data they see to drive decisions and modeling going forward.

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

Description: This article will be focused on maximizing the reuse of code using features available within Moody’s Axis specifically targeted at using Formula Link.

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: Feature article that supports the statement that actuaries who are competent coders will differentiate both themselves and the companies they work for. Coding ability will be useful no matter what tools are utilized every day and all of those tools and communities contribute to moving actuarial processes out of the “Spreadsheet Age.”

Description: Read the May 2020 issue of Actuarial Technology Today published by the Technology Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Feature article describing how to use advanced predictive analytics for rate making in the insurance industry.

Description: Read the October 2020 issue of Actuarial Technology Today published by the Technology Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: The article discusses the use of R in prototyping automation procedures. It offers general pros and cons for R and walks through a specific use case, which involves scraping and summarizing data stored in Microsoft Excel.

Description: Using Johns Hopkins data around the COVID-19 pandemic, this article explores the interaction between selecting a metric and the different ways of visualizing it.