{"id":13611,"date":"2024-09-08T10:18:02","date_gmt":"2024-09-08T14:18:02","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13611"},"modified":"2024-09-08T10:37:23","modified_gmt":"2024-09-08T14:37:23","slug":"alphabet-uses-ai-to-rush-first-responders-to-disasters-takeaways-for-businesses","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/alphabet-uses-ai-to-rush-first-responders-to-disasters-takeaways-for-businesses\/13611\/","title":{"rendered":"Alphabet Uses AI To Rush First Responders To Disasters\u2014Takeaways For Businesses"},"content":{"rendered":"Originally published in\u00a0Forbes, July 7, 2024. The National Guard has its work cut out. As first responders to wildfires, floods and other increasingly common catastrophes, Guardsmen must rapidly deploy precisely where needed. This presents one of the highest-stakes challenges imaginable for infotech as a field: Across the many square miles affected, which school, bridge or neighborhood most needs immediate help? Often, lives are at stake. Google parent company\u00a0Alphabet has a moonshot factory called X\u00a0that aims to solve some of the world\u2019s most critical and vexing issues, and X has developed a breakthrough solution\u2014one that uses predictive AI in <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/alphabet-uses-ai-to-rush-first-responders-to-disasters-takeaways-for-businesses\/13611\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in\u00a0Forbes, July 7, 2024. The National Guard has its work cut out. As first responders to wildfires, floods and other increasingly common catastrophes, Guardsmen must rapidly deploy precisely where needed. This presents one of the highest-stakes challenges imaginable for infotech as a field: Across the many square miles affected, which school, bridge or [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[],"class_list":["post-13611","post","type-post","status-publish","format-standard","hentry","category-leading-stories"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13611","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/78"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13611"}],"version-history":[{"count":3,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13611\/revisions"}],"predecessor-version":[{"id":13617,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13611\/revisions\/13617"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13611"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13611"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13611"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}