Miami, FL - May 14, 2019 - The (re)insurance industry is experiencing a critical evolution triggered by huge competitive pressures, rising expense ratios, and a constantly evolving risk landscape. Today at Exceedance 2019, RMS, the leading global risk modeling and analytics firm, announced the launch of RMS Risk Intelligence™, an open and flexible platform built to enable better risk management and support profitable risk selection. RMS is sunsetting the RMS(one) platform.
Risk Intelligence has a number of great benefits:
Karen White, chief executive officer at RMS, said: “We understand that the success of our clients requires building a more evolved strategic risk platform that can truly address vital business needs beyond what was previously possible. We are introducing RMS Risk Intelligence, an open, modular, future-proof platform for the evolving risk market. RMS Risk Intelligence leverages customer data, industry data and third-party data to deliver detailed and precise insights combined with unified model execution. It is the only way to give clients the scale, flexibility, extensibility, business value and performance needed to take on the future of risk.”
In today’s marketplace, the difference between profitability and insolvency is having the right risk insights. RMS Risk Intelligence utilizes big data through the unified Risk Data Lake that contains RMS risk models and rich data layers to enable more advanced analytics and greater flexibility. Because RMS Risk Intelligence utilizes the Risk Data Lake, as opposed to a data warehouse, any raw data is now highly accessible, flexible, dynamic and always up-to-date. The Risk Data Lake that powers Risk Intelligence, can be leveraged for rich analytics and combine enterprise data such as claims and policies, and third-party data with RMS risk data layers such as property attributes, hazard and cost details all under one unified platform.
RMS Risk Intelligence supports intuitive risk applications, through the APIs and directly through SQL. Currently Risk Modeler v1.11, the new RMS U.S. Inland Flood HD Model and RiskLink Version 18 models, live on Risk Intelligence. Forthcoming risk applications, such as SiteIQ™ and ExposureIQ, HD and Risk Link models, will also be released on Risk Intelligence.
New platform, new apps
SiteIQ™, announced at Exceedance 2019, is a risk application that synthesizes complex risk data, including interactive maps, for a single location, allowing underwriters and coverholders to immediately gain a deeper understanding of property risk. General Availability will be in June 2019.
Location Intelligence API and ExposureIQ are additional forthcoming products that also utilize Risk Intelligence, with General Availability for Location Intelligence API in June 2019 and ExposureIQ in September 2019.
Cihan Biyikoglu, executive vice president, RMS, said: “RMS intends to continually deliver the best models and user experience for all our clients. RMS Risk Intelligence accesses our Risk Data Lake to allow an extensible, interoperable and modular approach. Apps such as the forthcoming Site IQ and ExposureIQ, as well as REST APIs demonstrate our commitment to fully address the issues our clients are facing today.”
White concluded: “RMS Risk Intelligence is a robust, practical long-term solution to meet the client needs of today and the risk demands of the future. This modern platform delivers unified model execution, utilizing our Risk Data Lake and risk analytics. The needs of our clients have been evolving and with Risk Intelligence we are directly addressing the multiple needs of this new risk landscape.”
NEWARK, Calif. – September 22, 2020 – RMS, the world’s leading catastrophe risk company estimates insured losses for the Western U.S. will be between US$4.0 and US$8.0 billion. These losses reflect estimates as of September 20, 2020, and further escalation in losses are likely as many fires are still ongoing in California, Oregon, and Washington. RMS estimates insured losses from major wildfires in Northern California, Oregon, and Washington as follows (US$ billions): Regions Insured Losses as of September 20, 2020 Northern California 3.0 - 5.0 Oregon & Washington 1.0 - 3.0 Wildfires in the Western U.S. have led to over four million acres burned so far (2.5 million in Northern California and over 1.5 million in Oregon and Washington) and over 13,500 structures damaged or destroyed as of September 20, 2020. Michael Young, Vice President, Product Management said: “While this season is exceptionally noteworthy on many fronts, I want to highlight a silver lining: 30 to 60 percent of structures in many of these mega complex footprints actually survived the fire. This is because building science has identified many factors that increase the survivability of structures such as wildfire-resistant vents. We need to find bold ways to duplicate those measures at scale. If this is the new normal, we can’t afford not to embrace effective steps towards mitigation.” RMS estimates include losses from property damage, including evacuation and smoke damage, business interruption (BI) across residential, commercial, industrial lines, and additional living expenses (ALE). Smoke and evacuation are significant contributors to losses during the ongoing Western U.S. wildfires, contributing about 20 percent of losses in Northern California fires and about 35 percent in Oregon and Washington fires, respectively. The RMS loss estimate is based on detailed modeling of fire spread, ember accumulations, and smoke dispersion of the fires utilizing the RMS U.S. Wildfire HD Model, part of the suite of RMS North America Wildfire High-Definition (HD) Models, released in February 2019. The model covers the contiguous U.S. and explicitly simulates ember and smoke to support detailed analysis of the impact of a wildfire beyond historical fire perimeters. The model’s findings were supported by Damage Inspection Specialist (DINS) damage surveys for California Fires, published damage reports for Oregon and Washington fires, and the RMS U.S. Wildfire Industry Exposure Database. As many major fires are still active in these states, additional increases in loss are possible. Learn more about the RMS North America Wildfire HD Model here. ENDS The technology and data used in providing the information contained in this press release are based on the scientific data, mathematical and empirical models, and encoded experience of scientists and specialists. As with any model of physical systems, particularly those with low frequencies of occurrence and potentially high severity outcomes, the actual losses from catastrophic events may differ from the results of simulation analyses. RMS SPECIFICALLY DISCLAIMS ANY AND ALL RESPONSIBILITIES, OBLIGATIONS AND LIABILITY WITH RESPECT TO ANY DECISIONS OR ADVICE MADE OR GIVEN AS A RESULT OF THE CONTENTS OF THIS INFORMATION OR USE THEREOF, INCLUDING ALL WARRANTIES, WHETHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO, WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. IN NO EVENT SHALL RMS (OR ITS PARENT, SUBSIDIARY, OR OTHER AFFILIATED COMPANIES) BE LIABLE FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES WITH RESPECT TO ANY DECISIONS OR ADVICE MADE OR GIVEN AS A RESULT OF THE CONTENTS OF THIS INFORMATION OR USE THEREOF. …
Newark, CA – September 3, 2020 – RMS, the world’s leading catastrophe risk solutions company, estimates that total onshore U.S. insured losses from Hurricane Laura will be between US$9.0 and US$13.0 billion. The estimate includes losses to the National Flood Insurance Program (NFIP) of between US$400m and US$600m. Onshore U.S. insured loss estimates for Hurricane Laura (US$ billions): Wind + Surge Inland Flood NFIP Total 8.5 – 12.0 0.1 – 0.4 0.4 – 0.6 9.0 – 13.0 “Although Laura avoided major metropolitan areas like Houston and New Orleans, it was still an extremely impactful U.S. event. After making landfall as a powerful Category 4 storm, it maintained its intensity as it moved inland, causing widespread wind and water-driven damage well into interior portions of Louisiana. The extent and severity of these damages has been verified by our development teams via web and aerial-based reconnaissance efforts”, said Jeff Waters, senior product manager, RMS North Atlantic Hurricane Models. This estimate includes wind, storm surge, and inland flood losses across impacted states, including Louisiana and Texas, based on analysis of RMS ensemble footprints (hazard reconstructions of Laura’s wind field and storm surge) in Version 18.1 of the RMS North Atlantic Hurricane Models and the RMS U.S. Inland Flood HD (high-definition) Model. Ensemble footprints capture the uncertainties surrounding observed hazard, including wind speeds, storm surge, and wave heights. Losses reflect property damage and business interruption to residential, commercial, industrial, and automobile lines of business, as well as post-event loss amplification and non-modeled sources of loss. Industrial losses include impacts to speciality lines, such as refineries and petrochemical plants, many of which lie along this part of the Gulf coastline. The estimate also includes losses to the National Flood Insurance Program (NFIP), which RMS expects to reach US$400 million to US$600 million. NFIP losses were derived using an RMS view of NFIP exposure based on the 2019 policy-in-force data published by FEMA, and the Version 18.1 North Atlantic Hurricane Models. RMS estimates an additional US$1.0bn to US$2.0 billion of insured losses to offshore platforms, rigs, and pipelines in the Gulf of Mexico, due to wind and wave-driven damages. Offshore losses were estimated using the September 2020 vintage of the RMS Offshore Platform Industry Exposure Database. “Offshore assets have evolved significantly since the impactful hurricanes of Katrina and Rita in 2005 and Ike in 2008, but there is still a prevalence of platforms, rigs, and pipelines in the Gulf region. Many of these assets, including several high-value deep-water platforms, were exposed to the significant wind and wave impacts from Hurricane Laura. At landfall, Laura produced devastating sustained winds of 150 mph [240 km/h], according to both the National Hurricane Center and RMS HWind forecasting service. Our forecasts provided clients with estimates of Laura’s potential impacts in the critical days leading up to landfall,” said Pete Dailey, Vice President, Model Development. In the two days following landfall, the system weakened considerably as it tracked further inland into Arkansas and parts of the Ohio Valley. Eventually, Laura became a “remnant low” and merged with a passing extra-tropical system, accelerating eastward off the Mid-Atlantic coast. Hurricane Laura was the twelfth named storm of the 2020 North Atlantic hurricane season, the first major hurricane of the season, and the third landfalling hurricane of the season. It was the Atlantic Basin's earliest forming twelfth storm on record, and a record seventh named storm to make landfall in the contiguous U.S. before the end of August. NOAA expects the Atlantic to remain highly active through the remaining three months of the official 2020 hurricane season. END The technology and data used in providing the information contained in this press release are based on the scientific data, mathematical and empirical models, and encoded experience of scientists and specialists. As with any model of physical systems, particularly those with low frequencies of occurrence and potentially high severity outcomes, the actual losses from catastrophic events may differ from the results of simulation analyses. RMS SPECIFICALLY DISCLAIMS ANY AND ALL RESPONSIBILITIES, OBLIGATIONS AND LIABILITY WITH RESPECT TO ANY DECISIONS OR ADVICE MADE OR GIVEN AS A RESULT OF THE CONTENTS OF THIS INFORMATION OR USE THEREOF, INCLUDING ALL WARRANTIES, WHETHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO, WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. IN NO EVENT SHALL RMS (OR ITS PARENT, SUBSIDIARY, OR OTHER AFFILIATED COMPANIES) BE LIABLE FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES WITH RESPECT TO ANY DECISIONS OR ADVICE MADE OR GIVEN AS A RESULT OF THE CONTENTS OF THIS INFORMATION OR USE THEREOF. …