{"id":398431,"date":"2021-01-19T19:59:16","date_gmt":"2021-01-20T03:59:16","guid":{"rendered":"https:\/\/www.esri.com\/about\/newsroom\/?post_type=arcnews&p=398431"},"modified":"2024-03-27T10:19:41","modified_gmt":"2024-03-27T17:19:41","slug":"esri-partners-attend-to-immediate-needs-and-get-long-term-results","status":"publish","type":"arcnews","link":"https:\/\/www.esri.com\/about\/newsroom\/arcnews\/esri-partners-attend-to-immediate-needs-and-get-long-term-results","title":{"rendered":"Esri Partners Attend to Immediate Needs and Get Long-Term Results"},"author":6921,"featured_media":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"sync_status":"","episode_type":"","audio_file":"","podmotor_file_id":"","podmotor_episode_id":"","castos_file_data":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","_links_to":"","_links_to_target":""},"categories":[11032,10382,57842],"tags":[275882,365262,631,279282,279132],"arcnews_issues":[472041],"class_list":["post-398431","arcnews","type-arcnews","status-publish","format-standard","hentry","category-esri-partners","category-esri-technology","category-utilities-2","tag-business","tag-electric-utility","tag-smart-city","tag-technology-2","tag-water","arcnews_issues-winter-2021","arcnews_sections-collaborations"],"acf":{"short_description":"Esri partners Geospark Analytics, Urban GIS, and Honey Badger Analytics improve operational efficiency with Esri technology. ","pdf":{"host_remotely":false,"file":"","file_url":""},"flexible_content":[{"acf_fc_layout":"sidebar","layout":"standard","image_reference":null,"image_reference_figure":"","spotlight_image":null,"section_title":"","spotlight_name":"","position":"Center","content":"When government organizations needed to monitor resources during the COVID-19 pandemic, an Esri partner specializing in artificial intelligence (AI)<\/a> stepped up to help. When a parks district was looking to repair and better maintain a large lakefront area, an Esri partner made the project less daunting. When a water district needed to upgrade its GIS, an Esri partner managed the whole project. Read on to find out more about each project\u2014and keep in mind that this is just a small sample of what organizations in the Esri Partner Network can do.","snippet":""},{"acf_fc_layout":"content","content":"Over the course of the last year, most technology, research, and analytics companies around the world turned their attention to helping stem the tide of COVID-19. Geospark Analytics<\/a>, based in Herndon, Virginia, did the same, but with a focus on AI."},{"acf_fc_layout":"image","image":398381,"image_position":"right","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"In April 2020, a number of federal and military organizations in the United States contacted Geospark Analytics to inquire whether its AI algorithms could be used to assess the impact of COVID-19 on the US health-care system. To see, Geospark Analytics turned to its Hyperion AI engine\u2014specifically, the Health Events model\u2014and began identifying, tracking, and analyzing COVID-19 events. The data in this model includes information from news sources and social media.\r\n\r\nThe team at Geospark Analytics employed a combination of the Hyperion platform\u2019s API and ArcGIS Online to develop streaming feature services that it released to the public through Esri\u2019s COVID-19 GIS Hub<\/a>. It also developed a dashboard to track global COVID-19 reporting. Armed with this information, the organizations that originally were contacted by Geospark Analytics have been able to assess the virus\u2019s effects on local hospital systems and better focus their relief efforts.\r\n\r\nAfter conducting this initial project, Geospark Analytics fine-tuned its Hyperion AI engine to produce a county-level, seven-day forecast of the potential impacts of COVID-19."},{"acf_fc_layout":"image","image":398391,"image_position":"left","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"The model accounts for factors such as a county\u2019s total population; population density; the number of at-risk people; the availability of intensive care unit (ICU) beds; stresses on local hospitals and ICU systems; and confirmed COVID-19 cases, deaths, and recovery rates. These AI models are available to first responder organizations as feature layers and as a series of Esri technology-based dashboards. The layers and the dashboards have been accessed more than four million times.\r\n\r\n\u201cThese assessments are not just dots on a map,\u201d said Geospark Analytics COO John Goolgasian. \u201cThis is actionable information.\u201d\r\n\r\nIn expanding its work on COVID-19, Geospark Analytics has integrated its data, three of the AI models on the Hyperion platform (Events, Hotspots, and Pulse), and its ArcGIS Online feature layers into other environments. This is allowing its federal and defense clients to better assess other issues, too, ranging from hurricane response to transnational organized crime.\r\n