EagleView Enhances OnSite Solution with Machine Learning Technology

The vendor is applying machine learning processes to its pre-event Pictometry imagery to identify factors such as roof condition, shape and other features and to annotate potential roof damage captured in post-event images.

(Image source: EagleView homepage.)

EagleView Technologies (EagleView; Bothell, Wash.), a provider of aerial imagery and data analytics to insurance, government and private-sector organizations, has enhanced its EagleView OnSite solution through the integration of machine learning processes that the vendor obtained through the April 2017 acquisition of OmniEarth, a developer of machine learning technologies and decision-making tools for the water resource management, energy and insurance markets.

Ken Cook, VP, EagleView OnSite Solutions.

The EagleView OnSite solution provides high-resolution aerial imagery, data and analytics via a custom software application directly to the claims adjuster’s desk for review following a weather event, according to the vendor’s description. The application combines pre-event Pictometry aerial imagery from EagleView with high-resolution drone imagery captured by EagleView OnSite Solutions representatives. Through a dedicated machine learning organization resulting from the OmniEarth acquisition, EagleView is applying machine learning processes to its pre-event Pictometry imagery to identify factors such as roof condition, shape and other features and to annotate potential roof damage captured in post-event images. The addition of these capabilities will allows claims adjusters to make decisions from their desks instead of out in the field, according to the vendor.

“It’s great to see the pieces coming together,” comments Ken Cook, VP, EagleView OnSite Solutions. “Our end goal is to give our insurance customers a comprehensive solution that simplifies their work day by providing the information needed to accurately and efficiently scope, estimate and settle a claim, and this technology can do just that.”

Processing Imagery with Less Human Intervention

EagleView characterizes its new capabilities as addressing the time-sensitive nature of property insurance claims. The combination of post-event image capture and automated data extraction can help claims adjusters to make informed decisions quickly, according to the vendor. “Machine learning technology will allow EagleView to process imagery with less human intervention, resulting in expedited product delivery,” a vendor statement says.

Lars Dyrud, SVP of Machine Learning, EagleView

“We’re excited to offer a positive solution for such a complex and demanding industry,” comment Lars Dyrud, Senior VP of Machine Learning, EagleView and former President and CEO of OmniEarth. “On their own, high-resolution imagery and machine learning can cause a stir, but bringing them together can create the perfect solution for claims adjusters.”

Through partnerships with drone pilot networks, EagleView OnSite provides a fast and reliable solution for insurance carriers that need imagery immediately after a major storm event to triage claims remotely, the vendor reports. The machine learning aspect of EagleView OnSite adds the detection of potential hail damage, leading to faster claims processing, more accurate claims payments and better fraud detection, EagleView asserts.

“Incorporating machine learning into the current EagleView process will revolutionize every aspect of our business and offer the opportunity to break into new markets as well,” adds Dyrud. “Customers across all industries and agencies will experience accelerated product development, which will create more efficient workflows.”

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Anthony R. O’Donnell // Anthony O'Donnell is Executive Editor of Insurance Innovation Reporter. For over a decade he has been an observer and commentator on the use of information technology in the insurance industry, following industry trends and writing about the use of IT across all sectors of the insurance industry. He can be reached at AnthODonnell@IIReporter.com or (503) 936-2803.

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