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

Description: On behalf of The Actuarial Demography Team of CREAD (Centre for Research in Applied Economics for Development, Algiers, Algeria), Farid FLICI hosted Arpita DAS from Actuaries Without Borders (AWB) belonging to the International Association of Actuaries (IAA) to facilitate a 3 days training on "Data Science for Health & Life Insurance" for actuaries in Algiers. The training was held in CREAD's from 23th to 25th of December 2018 and was attended by actuaries and statisticians from insurance companies, public insurance regulators, social security organizations, and academia.

Description: Read the April 2019 issue of CompAct, published by the Technology Section of the Society of Actuaries.

Description: This article summarizes IT trends that impact life, health and P&C insurance providers as revealed by Gartner's research.

Description: This article discusses new develpments in computer technology including artificial intelligence, use of stochastic models and use of quantum mechanics in building computers.

Description: Editorial describing issue’s contents.

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

Description: Discusses using the tseries package in the R computer language for developing historical series of data.