Description: By disinformation we mean the inclusion of data that should not be considered in a study. In this paper we discuss a case in which the presence of disinformation was clear, but it was not possible to determine with certainly which records were extraneous.

Description: Bayesian networks are one of many models that are useful for predictive modeling. This article introduces the concept of Bayesian network and shows how time-series data can be modeled for a Bayesian network.

Description: The barrier between humans and machines continues to blur, but curiously, this may have been prediction thousands of years ago in ancient myths. This article looks to how some of the early legends are becoming manifest in modern technology, particularly in the area of elder care. From automation, to humanoid assistants, to mind clones will the age of technology bring a new utopia?

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: Panelists discuss pricing issues, patent issues, safeguards, successes, failures, and other observations about the future of automated underwriting. From the 2002 Record of Society of Actuaries, Volume 28, No. 3. Session 134PD of the Boston Annual Meeting.

Description: The purpose of this paper is to define a predictive model, based on known system attributes, for assessing risk associated with information systems.

Description: Read the March 2017 issue of Small Talk published by Smaller Insurance Company Section. Practical information on trends that impact sections and activities.

Description: Big data and machine learning have been making headlines across industries everywhere, how will it impact the world of actuarial science?

Description: Highlights some interesting facts about the quantity pi and about the properties of circles, taken from a recent exhibit of the scientific discoveries from ancient India.