Description: The COVID-19 pandemic has disrupted the global economy at a level never imagined. The economic fallout has been catastrophic. Record high unemployment, staggering revenue loss, bankruptcy and an uncertain future have businesses—and consumers—searching for a beacon of hope. In the quest for a lifeline, actuarial teams are quickly being thrust into the spotlight

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: We all know how important data is, right? But the most challenging question we face is how we transform raw data into meaningful insights to help make better business decisions. How should we communicate this vast amount of data into digestible pieces that enable end users to perform on-demand analytics and become self-sufficient? This is where data visualization tools stand out. The field of data visualization combines both art and [data] science. While data visualizations can be creative and pleasing to the eyes, they can also be highly functional in uncovering a point of view or unlocking insights unseen before. Dive into Power BI, Streamlit, and Tableau, and work through an actual business use case utilizing these tools. Find out more about data gathering and connections, processing, and analysis leading up to an interactive dashboard. At the end of the session, you will be able to: - Understand general data issues and how to clean and transform raw data for visualizations. - Differentiate between many visualization tools, and analyze pros and cons to determine the right toolkit for the use-case on hand - Learn practical tips on how to use visualization tools to build meaningful visualizations and dashboards. - Interpret results and patterns from the visualizations and make impactful business decisions.

Description: This discussion has a look at valuation techniques best suited for Electronic Data Processing equipment and if any basic changes has resulted since the introduction of Electronic Data Processing. From Transactions of Society of Actuaries 1959, Vol. 11, No. 31.

Description: Many executives travel now with only a single mobile device. These tools generally do not replace your desktop or even your laptop look at them as extending the reach of your physical office. Tips for using these mobile devises are given in this article.

Description: Feature article about the use of approximations.

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.

Description: 1993 SOA Spring Meeting, San Diego. In this session three panelists related recent personal experiences with respect to emerging trends in hardware, software, and methodologies.

Description: 1993 SOA Meeting, Quebec. This session is about implementing new technology, choosing between competing technology, problems to watch out for, unexpected benefits, migrating from mainframe to client/server, automating the field force and large-scale networks.

Description: 1993 SOA Annual Meeting, New York. This session discussed the computer buzzwords such as expert systems, object orientation, artificial intelligence,software engineering, open systems, fuzzy logic, image, EDI, GUI, CASE, and database management system. Then it addressed what actuaries think about some of the latest technologies.