Cloud-based computing systems provide insurance companies several advantages over traditional systems. The following reading list highlights the benefits that cloud computing solutions such as Milliman’s Integrate offer insurers.
• Reuters: Amazon’s cloud business a harder sell in post-Snowden era
This article discusses the pros and cons of public, private, and hybrid cloud models.
• Rewrite.ca.com (Wired): The biggest risk facing insurers today? Old-guard IT
Some insurance companies have moved their actuarial modeling systems into the cloud. This article highlights how UK-based insurance firm The Phoenix Group increased productivity by implementing Integrate. In the article, Milliman principal Pat Renzi discusses the value that cloud-based actuarial modeling can have for insurance companies.
• TechTarget.com: What to consider before running HPC in the cloud
Information technology (IT) administrators should follow best practices when running high-performance computing in the cloud. Milliman’s Paul Maher and other IT professionals offer eight tips that can help administrators manage testing, networking performance, and more in this article.
• Contingencies: Fast forward: Emerging technology and actuarial practice
Cloud-based solutions such as Integrate are transforming the actuarial profession, offering clients the speed and scalability needed to process advanced analyses in real time. Pat Renzi discusses the advantages of conducting complex calculations using an actuarial modeling system in the cloud.
• The Digital Insurer: Actuarial models meet the cloud: A perfect marriage?
The costs associated with actuarial modeling have increased. This article, authored by Milliman consultant Dennis Stanley, demonstrates how migrating an actuarial model to the cloud is cost-effective and increases flexibility for large-scale, time-intensive projects.
• MG-ALFA® Compute for Windows Azure
This video shows how MG-ALFA Compute for Azure can help insurers meet their growing needs for high-capacity computing as the industry’s modeling requirements expand. This solution reduces run-times, increases capacity for analyses, and lowers costs relative to an in-house grid.