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GIC’s high-speed processing combined with Arturo’s AI analysis redefines the speed at which insurers can make decisions and gain insights regarding their insured properties
Boulder, Colo. and Chicago, IL, Sept. 16, 2019 — The Geospatial Insurance Consortium (GIC), an insurance industry consortium spearheaded by the National Insurance Crime Bureau (NICB) and powered by Vexcel Imaging’s data program, together with Arturo, the AI-powered analytics platform for residential and commercial property characteristic data and predictive analysis, today announced their partnership. Together, the companies are bringing GIC member insurers access to advanced imagery, along with differentiated property data and analysis at an unprecedented speed. This helps insurers to make more informed decisions when underwriting, and improves situational awareness to expedite claims and improve fraud detection following major catastrophes. Arturo grew out of more than three years of research by American Family Insurance on the application of AI and deep learning to satellite, aerial, drone, and ground-level imagery to accurately assess physical property characteristics for residential and commercial properties from the highest resolution and most current imagery. Arturo’s dynamic AI-powered analytics generate detailed property information, often in under five seconds. By deriving this data from the GIC’s high resolution imagery, insurers gain a deeper understanding of properties in real-time. This speeds up and simplifies how they do business and generates insights in seconds that would take hours if performed manually.
“Access to quality data is integral to how insurers quantify risk,” said John-Isaac Clark, CEO of Arturo. “Our technology’s sophisticated findings, based on AI and machine learning, derived from the GIC’s high resolution imagery, provides insurers with a deeper understanding of properties in near real-time.”
With nationwide coverage of the United States, the GIC’s aerial imaging capabilities boost the existing Arturo imagery database. In the event of a natural catastrophe, GIC deploys a fleet of aircraft after it’s safe to fly and within 24 hours of the aircraft touching down imagery is uploaded—a much quicker turnaround compared to other aerial imaging providers currently in the market. “The GIC’s mission is to provide the most comprehensive, precise, and up-to-date geospatial information to insurers. By giving our members access to the most advanced analytics on the market today, in combination with our imagery, we are doing just that,” said Rob Agee, Vice President of Business Development, Geospatial Insurance Consortium. “Arturo has demonstrated its ability to provide robust, accurate information for insurers quickly and effectively. We are confident that the Arturo platform will be a true value-add for our members, and look forward to a long-term, collaborative relationship.” The companies will exhibit at InsureTech Connect on Sept. 23 – 25 at the MGM Grand in Las Vegas. Visit the GIC at booth 533 and Arturo at booth 500 for a live demo and to learn more. About Geospatial Insurance Consortium – The Geospatial Insurance Consortium’s mission is to provide the most comprehensive, precise, and up-to-date geospatial information to insurers. This insurance industry consortium delivers geospatial imagery and analytics, leading to more informed underwriting, better claims decisions, reducing fraud and delivering faster catastrophe response. GIC’s growing member base includes Travelers, Metlife, MunichRe, USAA, Allstate, Citizens, and Brit. To learn more visit geointel.org. About Arturo – Arturo is a deep learning spin-out from American Family Insurance relentlessly committed to delivering highly accurate physical property characteristic data  and predictive analysis for residential and commercial properties for use in the Property & Casualty (P&C) Insurance, Reinsurance, Lending, and Securities markets. Leveraging the latest satellite, aerial, and ground-level imagery, as well as unique proprietary data sources, Arturo’s deep learning models provide differentiated property data unparalleled by any other provider – often in as little as 5 seconds. To learn more about Arturo, Inc., visit: www.arturo.ai or follow on Twitter @arturo_ai.
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Hurricane Dorian has intensified to a Category 3 with impacts being felt in South Carolina and North Carolina, including flooding from storm surge, flash flooding, tornadoes, and winds. Our Director of Catastrophe Response, Richard Butgereit, GISP, has moved to the North Carolina State EOC to continue to monitor conditions. GIC members with specific requirements for imagery collection are encouraged to reach out to graysky@geointel.org. GIC post-disaster imagery is available for free to first responders and government agencies involved in response and recovery activities. GIC collects major disaster imagery areas for the use by insurance companies and shares this data with disaster response and recovery organization in order to help impacted communities recover. For more information and to sign up to be notified when imagery is collected, please visit Register for Post-Disaster Imagery
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“Eager to overcome those limitations, a consortium of insurance companies is working to change the nature of recovery. They formed the National Insurance Crime Bureau’s Geospatial Intelligence Center (GIC) on the premise that aircraft can help rapidly identify damage from large-scale weather events that would otherwise take a long time to discover—essentially uncovering the unseen.” Read the full story here.
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“At the 2019 Esri User Conference, the Geospatial Intelligence Center (GIC), an insurance industry consortium spearheaded by the National Insurance Crime Bureau (NICB), and Esri today introduce Virtual Inspection Studio (VIS). A new tool available exclusively to GIC members, the VIS now enables insurers to enhance remote property assessments by utilizing ultra-high-resolution aerial imagery.” Read the full story here.
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Gray Sky, News, Uncategorized
In this 5-part blog series, we interview GIS and emergency management expert, Richard Butgereit, on the use of GIS technologies to improve catastrophe response.
Hurricane Michael – Image Rights Vexcel Imaging
Improving Natural Disaster Recovery Efforts through GIS
In part 2 of the 5-part blog series with Richard Butgereit, Director of Catastrophe Response, explained the role GIS plays in disaster preparedness and management.
This week, we hear from Richard on the ways in which GIS and the Geospatial Intelligence Center’s partnership with the private sector improves recovery efforts, allowing communities to rebuild faster.
Can you tell us why the post-disaster assessment process is critical to recovery efforts?
Richard: “Post-disaster damage assessment is what drives the recovery effort after a natural disaster. Affected areas need to be assessed to ascertain how many houses were destroyed or how many people no longer have a place to go to work or to live. Once the affected areas have been assessed, this information is then used to scope and begin the recovery process with the goal of making a community whole again.”
How has post-disaster data collection enhanced recovery efforts?
Richard: “If you look at the adoption of post-disaster imagery made available to emergency management organizations and stakeholders, it’s a constant evolution. Years ago we had disasters like Hurricane Katrina in which the response nor recovery efforts were well coordinated at the very beginning. We saw quickly that a lack of organization and resources could have a tremendous impact on outcomes after a disaster. Like with so many disasters, in the immediate aftermath of Hurricane Katrina, post-disaster imagery collection efforts were in direct conflict with critical search and rescue operations, delaying data collection. And unfortunately, the data collected didn’t show up to emergency operations centers until several weeks after the storm – and even then, the data collected was hard to assess due to the lack of an index and inability to understand which locations at which time were covered by the imagery. As a result, it wasn’t effectively leveraged to positively affect outcomes.
Fast forward to today, the lessons learned along with advancements in technology and the development of programs like the Geospatial Intelligence Center, and we now have unprecedented post-disaster data collection coordinated as a component of the response, capturing unprecedented quantities of quality, high-resolution data that can be turned around in quicker time frames than ever previously possible and contributing to recovery.
The end result is critical to the rebuilding of communities. In addition to serving our GIC member insurers, the GIC can share this same post-disaster data with emergency responders and government organizations like FEMA that can be used immediately to change outcomes for families, businesses, and communities that have been impacted – helping them get back on their feet faster.” What ways can geospatial analytics be used in combination with imagery to provide the most comprehensive response?
Richard: “I see two base feeds of information following disasters, one driven from the public sector and one driven from the private sector. Each can drive disaster response and recovery, but they work best, and most effectively for the communities impacted, when the data can be shared across these domains. On the public side, data feeds include FEMA’s Individual Assistance Program, where phone calls and registration for aid are being initiated. This information is one indicator of the areas and levels of damage that a person’s home or business has endured. On the private side, insurers are a critical resource to people affected by these disasters. From their respective positions, how can this data be de-identified and aggregated to foster this cross-domain data sharing? I remember working in the Florida emergency operations center and observing as the US National Grid, a tactical tool originally created to improve search and rescue ground operations, naturally through geospatial analytics revealed itself as a strategic tool for data de-identification and aggregation.
Even as more sophisticated geospatial analytics like machine learning and artificial intelligence evolve around us, including using GIC post-disaster imagery, that same imagery is being used today to drive comprehensive response. When responders and emergency managers gather around our imagery, conversations and connections are spawned. And from those, we can logically dive into further data sharing discussions and work to assist communities affected by natural disasters. This type of partnership is a true game-changer in disaster response.”
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