A Personal Account of Hurricane Matthew
Managing Catastrophic Events with Data Analytics and Modeling During the night of Hurricane Matthew, I happen to read the Three Little Pigs to my three-year old daughter. We were at home winding [...]
Managing Catastrophic Events with Data Analytics and Modeling During the night of Hurricane Matthew, I happen to read the Three Little Pigs to my three-year old daughter. We were at home winding [...]
What is speed-of-thought risk analytics? There is a paradigm shift happening in the world of (re)insurance risk analytics. It is driven by the advent of the latest generation of high-performance [...]
Global risk management requires effective regulatory oversight. Regulation in Latin America leaves the management of environmental risks the responsibility of companies, so mitigating and [...]
Big Data to Swift Data While most of us are still coming to terms with big data – often described by the 4 Vs (volume, velocity, variety, and veracity; some add value to this list and make [...]
by: Eduardo Hernandez, Co-Founder, EigenRisk, Inc. Today, creating effective global property insurance programs involves both the efficient deployment of underwriting capacity and the accurate [...]
“Times are changing. You’ve got to change with the times”. “What am I supposed to do…get a website?” Back in 1999, when I watched the movie Analyze This, it was rather whimsical to hear a mob [...]
On September 1, 1983, a fighter jet shot down a Korean Airlines plane bound to Seoul from Anchorage. All 269 passengers and crew perished. It was determined that the airplane strayed off course [...]
A few years ago, I was offered a chance to interview for a newly created leadership position at a catastrophe risk modeling firm, in which I would be responsible for “transparency”. I turned down [...]

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Disclaimer: The ZIP codes and other regional markers shown on this page represent the centroids of the respective regions. The displayed intensity values in the table are based on the event intensity calculated at these centroid locations, not necessarily the most affected part of the region.
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