US: Esri, the global leader in location intelligence, announced that Esri and partner Figure Eight Technologies, Inc. have been awarded a contract in support of Department of Defense, the Joint Artificial Intelligence Center (JAIC), prototyping advancements in rapid damage and consequence assessment during disasters.
The world is faced with what emergency response professionals call the new normal. This means disasters are occurring with both increased frequency and massive impacts to communities at a scale which cannot be readily understood and mitigated through traditional methods used today by first responders, NGOs, government partners, and commercial entities.
Under the JAIC, the Humanitarian Assistance/Disaster Relief (HADR) National Mission Initiative (NMI) leads the fielding of Artificial Intelligence/Machine Learning (AI/ML)-powered, problem solving prototypical applications to quickly identify and locate people and infrastructure impacted by natural and manmade disasters. The development of HADR AI/ML capabilities aims to streamline the processes and architecture of data aggregation, conditioning, and interpretation.
Esri’s ArcGIS platform uses the predictive power of location intelligence combined with AI to provide new insight that enabes personnel to make better, data-driven decisions through near-real time situational awareness. Costs to lives and livelihood will be reduced by shrinking operational timelines for search and discovery, resource allocation, and rescue or relief execution efforts.
In support of the HADR NMI providing global humanitarian assistance, training of deep learning models and inference against imagery sources will happen at scale. This solves the complex spatial problem of massive deployment of resources by rapidly distinguishing object and areas for issues such as locating flood affected areas, or identifying at-risk infrastructure and people in need of help.
ArcGIS provides a geospatial AI foundation that will enable JAIC’s analysts, data scientists, and decision makers to collaborate closely together in an iterative fashion. They will be able to quickly test and validate ideas, prototype models, deploy them to production, and build meaningful information products including Dashboard, Maps, and Apps.