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

Description: Life Insurers have fallen behind the customer service curve and service expectations of younger customers. This article suggests changes for correcting this.

Description: Update on the SOA International experience study. The SOA has developed a new “tool” using Microsoft Access/Excel for international actuaries to conduct mortality and persistency studies in conjunction with the SOA’s international experience study initiative.

Description: Machine learning models have many practical applications in the world of insurance. These applications are well documented and most actuaries, at least at a high level, are familiar with these concepts. The presenters will take this one step further and provide an introduction to the theoretical formulas and real-world considerations that make machine learning models possible.

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 explains the importance of centralizing modeling departments. It goes further and explains the importance of making all aspects of modeling reusable. It explains the consequences of decentralization.

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

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.