Description: Using the copula package in the R computing language for ERM modeling.

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: This article provides a pre-release summary of Microsoft Windows Vista personal computer operating system.

Description: This article shares our experience of using the cloud to do large-scale parallel processing and discusses some background regarding the cloud.

Description: This article is about Content Management Systems and other software to help build a web site for a small business.

Description: The editor introduces a new newsletter format and asks for ideas for articles.

Description: Welcome to the third edition of Cool Tech. This is where the author points out cool things on the Web.

Description: As any international traveler who has tried to plug in an electronic device knows, the human race is great at devising many different ways to accomplish the same task. Predictive modeling is no different. Data scientists can choose from a wide variety of languages to prepare data, fit models, and verify results. The Rosetta Stone, which showed writing composed in three languages side by side, was instrumental in translating unfamiliar Egyptian hieroglyphics into the more common Greek language. This presentation follows a similar approach by showing the same predictive model implemented in the following languages: R, Python, Spark, MatLab, and SAS. Participants will compare and contrast each of these languages and, by doing so, build a greater understanding of those languages less familiar to them.

Description: Software is shaping a world in which there is more information to measure and more risk to manage. An increasing reliance on software as infrastructure of public and private enterprise will create demand for new forms of insurance products focused on systemic failure. Machine-originated risk will create a novel market and equally new challenges for quantifying, pricing, and pooling risk.