{"id":492,"date":"2025-10-14T19:59:44","date_gmt":"2025-10-14T17:59:44","guid":{"rendered":"https:\/\/soft-tls.com\/2025\/10\/14\/umetna-inteligenca-pri-analizi-hse-ucinkovitost-in-preventiva-na-novi-ravni\/"},"modified":"2025-10-14T19:59:44","modified_gmt":"2025-10-14T17:59:44","slug":"umetna-inteligenca-pri-analizi-hse-ucinkovitost-in-preventiva-na-novi-ravni","status":"publish","type":"post","link":"https:\/\/soft-tls.com\/sl\/2025\/10\/14\/umetna-inteligenca-pri-analizi-hse-ucinkovitost-in-preventiva-na-novi-ravni\/","title":{"rendered":"Umetna inteligenca pri analizi HSE \u2013 u\u010dinkovitost in preventiva na novi ravni"},"content":{"rendered":"<p data-start=\"270\" data-end=\"654\">Z uvedbo novih <strong data-start=\"299\" data-end=\"334\">analiti\u010dnih funkcij, podprtih z umetno inteligenco<\/strong>, <strong data-start=\"341\" data-end=\"353\">SOFT-TLS<\/strong> postavlja nov mejnik na podro\u010dju <strong data-start=\"392\" data-end=\"448\">varnosti in zdravja pri delu ter varovanja okolja (HSE)<\/strong>.<br data-start=\"449\" data-end=\"452\">Na\u0161a umetna inteligenca pomaga strokovnjakom za varnost, vodjem gradbi\u0161\u010d in vodjem projektov, da <strong data-start=\"561\" data-end=\"653\">hitreje prepoznajo, ocenijo in odpravijo odstopanja in pomanjkljivosti na gradbi\u0161\u010dih<\/strong>.<\/p>\n<p data-start=\"656\" data-end=\"982\">Z <strong data-start=\"666\" data-end=\"732\">avtomatsko analizo poro\u010dil, slik in protokolov<\/strong> sistem prepozna ponavljajo\u010de se vzorce in potencialna tveganja \u2013 \u0161e preden pride do nesre\u010d ali motenj.<br data-start=\"853\" data-end=\"856\">Umetna inteligenca se nenehno u\u010di iz obstoje\u010dih podatkov in tako nenehno izbolj\u0161uje <strong data-start=\"944\" data-end=\"981\">natan\u010dnost analize tveganja<\/strong>.<\/p>\n<p data-start=\"984\" data-end=\"1012\"><strong data-start=\"984\" data-end=\"1012\">Prednosti za prakso:<\/strong><\/p>\n<ul data-start=\"1013\" data-end=\"1336\">\n<li data-start=\"1013\" data-end=\"1063\">\n<p data-start=\"1015\" data-end=\"1063\">Hitro prepoznavanje kriti\u010dnih odstopanj HSE<\/p>\n<\/li>\n<li data-start=\"1064\" data-end=\"1135\">\n<p data-start=\"1066\" data-end=\"1135\">Avtomatsko dolo\u010danje prednosti ukrepov glede na tveganje in pogostost<\/p>\n<\/li>\n<li data-start=\"1136\" data-end=\"1206\">\n<p data-start=\"1138\" data-end=\"1206\">Inteligentni predlogi za preventivne in korektivne ukrepe<\/p>\n<\/li>\n<li data-start=\"1207\" data-end=\"1274\">\n<p data-start=\"1209\" data-end=\"1274\">Prihranek \u010dasa z avtomatizirano analizo in dokumentacijo<\/p>\n<\/li>\n<li data-start=\"1275\" data-end=\"1336\">\n<p data-start=\"1277\" data-end=\"1336\">Popolna preglednost nad vsemi lokacijami in projekti<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1338\" data-end=\"1494\">S tem se klasi\u010dni varnostni pregled dopolni z <strong data-start=\"1392\" data-end=\"1431\">digitalno, podatkovno podprto perspektivo<\/strong> \u2013 natan\u010dnej\u0161i, objektivnej\u0161i in u\u010dinkovitej\u0161i kot kdaj koli prej.<\/p>\n<p data-start=\"1496\" data-end=\"1650\">Z umetno inteligenco na podro\u010dju HSE si SOFT-TLS prizadeva za jasen cilj:<br data-start=\"1551\" data-end=\"1554\"><strong data-start=\"1554\" data-end=\"1650\">Manj tveganj, ve\u010d varnosti \u2013 z inteligentnimi analizami in proaktivnim delovanjem.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Z uvedbo novih analiti\u010dnih funkcij, podprtih z umetno inteligenco, SOFT-TLS postavlja nov mejnik na podro\u010dju varnosti in zdravja pri delu ter varovanja okolja (HSE).Na\u0161a umetna inteligenca pomaga strokovnjakom za varnost, vodjem gradbi\u0161\u010d in vodjem projektov, da hitreje prepoznajo, ocenijo in odpravijo odstopanja in pomanjkljivosti na gradbi\u0161\u010dih. Z avtomatsko analizo poro\u010dil, slik in protokolov sistem prepozna&hellip; <br \/> <a class=\"read-more\" href=\"https:\/\/soft-tls.com\/sl\/2025\/10\/14\/umetna-inteligenca-pri-analizi-hse-ucinkovitost-in-preventiva-na-novi-ravni\/\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":493,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[38],"tags":[],"class_list":["post-492","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nekategorizirano"],"_links":{"self":[{"href":"https:\/\/soft-tls.com\/sl\/wp-json\/wp\/v2\/posts\/492","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/soft-tls.com\/sl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/soft-tls.com\/sl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/soft-tls.com\/sl\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/soft-tls.com\/sl\/wp-json\/wp\/v2\/comments?post=492"}],"version-history":[{"count":0,"href":"https:\/\/soft-tls.com\/sl\/wp-json\/wp\/v2\/posts\/492\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/soft-tls.com\/sl\/wp-json\/wp\/v2\/media\/493"}],"wp:attachment":[{"href":"https:\/\/soft-tls.com\/sl\/wp-json\/wp\/v2\/media?parent=492"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/soft-tls.com\/sl\/wp-json\/wp\/v2\/categories?post=492"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/soft-tls.com\/sl\/wp-json\/wp\/v2\/tags?post=492"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}