{"id":29615,"date":"2025-10-01T11:56:01","date_gmt":"2025-10-01T10:56:01","guid":{"rendered":"https:\/\/exmachina.ch\/?p=29615"},"modified":"2025-10-01T14:59:11","modified_gmt":"2025-10-01T13:59:11","slug":"airas-experimentation-in-the-municipality-of-zola-predosa","status":"publish","type":"post","link":"https:\/\/exmachina.ch\/en\/ai-lab\/airas-experimentation-in-the-municipality-of-zola-predosa\/","title":{"rendered":"AIRAS Experimentation in the Municipality of Zola Predosa"},"content":{"rendered":"<p class=\"p1\">The <b>Municipality of Zola Predosa<\/b> (Bologna metropolitan area) has launched the experimentation of <b>AIRAS<\/b>, the platform created by <b>Ex Machina<\/b> to support local decision-makers in managing <b>hydrogeological risk<\/b> in the presence of extreme weather events. Thanks to AI and integration with environmental monitoring networks, AIRAS processes and interprets a large amount of data and documents in real-time\u2014including weather bulletins, historical data, and civil protection plans\u2014providing rapid, data-driven recommendations to local administrators, technicians, and volunteers involved in managing the weather emergency.<\/p>\n<p class=\"p1\">With the experimentation of AIRAS, the Municipality of Zola Predosa adds a new and powerful tool for managing hydrogeological emergencies. The AI will help define intervention priorities based on a <b>cost-benefit analysis<\/b>, dynamically map the areas at greatest risk, and optimize the deployment of resources and aid. The goal is to enhance the Municipality&#8217;s ability to react promptly in case of a weather alert, better managing the emergency and thereby reducing inconvenience and damage to property and people.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A Municipality in the metropolitan area of Bologna has initiated the testing of AIRAS, the platform created by Ex Machina to support local decision-makers in managing hydrogeological risk in the presence of extreme weather events.<\/p>\n","protected":false},"author":33,"featured_media":29616,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[242],"tags":[],"class_list":["post-29615","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-lab"],"_links":{"self":[{"href":"https:\/\/exmachina.ch\/en\/wp-json\/wp\/v2\/posts\/29615","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/exmachina.ch\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/exmachina.ch\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/exmachina.ch\/en\/wp-json\/wp\/v2\/users\/33"}],"replies":[{"embeddable":true,"href":"https:\/\/exmachina.ch\/en\/wp-json\/wp\/v2\/comments?post=29615"}],"version-history":[{"count":1,"href":"https:\/\/exmachina.ch\/en\/wp-json\/wp\/v2\/posts\/29615\/revisions"}],"predecessor-version":[{"id":29618,"href":"https:\/\/exmachina.ch\/en\/wp-json\/wp\/v2\/posts\/29615\/revisions\/29618"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/exmachina.ch\/en\/wp-json\/wp\/v2\/media\/29616"}],"wp:attachment":[{"href":"https:\/\/exmachina.ch\/en\/wp-json\/wp\/v2\/media?parent=29615"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/exmachina.ch\/en\/wp-json\/wp\/v2\/categories?post=29615"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/exmachina.ch\/en\/wp-json\/wp\/v2\/tags?post=29615"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}