NEWARK, Calif. - February 03, 2014 RMS, the world's leading catastrophe modeling firm, today announced its speakers for the Reinsurance Association of America (RAA) Cat Modeling 2014 Conference. The conference brings together global catastrophe risk experts for a review of worldwide catastrophe events and a discussion of catastrophe models and their impact on risk management. The three-day conference will be held at the Loews Portofino Hotel in Orlando, Florida, and starts on Tuesday, February 11, 2014. The RMS booth is located in the Tuscan Ballroom Foyer.
RMS speaker line-up:
• Paris Georgallis, Senior Vice President, Cloud Operations, will present “What every catastrophe modeler should know about cloud computing”. The presentation will provide insights into how cloud technology can significantly reduce model run-times, speed-up large portfolio roll-ups, and enable the use of high definition models that can simulate the causes of loss to specific locations around the globe.
• Matthew Nielsen, Director, Model Product Management, presents a keynote presentation about the scientific advances and new learnings that have been incorporated into RMS’ Severe Convective Storms model.
• Chris Folkman, Director, Model Product Management, will speak about the impact of the Terrorism Risk Insurance Act (TRIA) on the insurance industry, the global terrorism risk environment, and the terrorism risk modeling process.
• Clare Salustro, Manager, Model Product Management, will present an update on U.S. flood risk, including insights into RMS' state-of-the-art coastal flood model, lessons learned from recent events such as Hurricane Sandy, as well as how the RMS flood modeling solution will become more complete with an HD-simulation-based U.S. flood model on the upcoming RMS(one) platform.
The RAA is the leading trade association of property and casualty reinsurers doing business in the United States. Its annual Cat Modeling Conference features discussion from leading catastrophe risk modelers and industry executives on a variety of scientific, engineering and statistical concepts that form the foundation of catastrophe models and their growing influence on managing risk.