{"id":2588,"date":"2025-06-20T12:13:38","date_gmt":"2025-06-20T04:13:38","guid":{"rendered":"https:\/\/www.rzautoassembly.com\/?p=2588"},"modified":"2025-06-20T12:14:32","modified_gmt":"2025-06-20T04:14:32","slug":"governments-crave-artificial-intelligence-but-intelligent-automation-adoption-stalls","status":"publish","type":"post","link":"https:\/\/www.rzautoassembly.com\/tr\/governments-crave-artificial-intelligence-but-intelligent-automation-adoption-stalls\/","title":{"rendered":"Governments Crave Artificial Intelligence, but Intelligent Automation Adoption Stalls"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_73 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewbox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewbox=\"0 0 24 24\" version=\"1.2\" baseprofile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.rzautoassembly.com\/tr\/governments-crave-artificial-intelligence-but-intelligent-automation-adoption-stalls\/#Governments_Crave_Artificial_Intelligence_but_Intelligent_Automation_Adoption_Stalls\" title=\"Governments Crave Artificial Intelligence, but Intelligent Automation Adoption Stalls\">Governments Crave Artificial Intelligence, but Intelligent Automation Adoption Stalls<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.rzautoassembly.com\/tr\/governments-crave-artificial-intelligence-but-intelligent-automation-adoption-stalls\/#Barriers_to_Intelligent_Automation_in_the_Public_Sector\" title=\"Kamu Sekt\u00f6r\u00fcnde Ak\u0131ll\u0131 Otomasyonun \u00d6n\u00fcndeki Engeller\">Kamu Sekt\u00f6r\u00fcnde Ak\u0131ll\u0131 Otomasyonun \u00d6n\u00fcndeki Engeller<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.rzautoassembly.com\/tr\/governments-crave-artificial-intelligence-but-intelligent-automation-adoption-stalls\/#Pioneers_vs_Followers_Lessons_in_Intelligent_Automation\" title=\"\u00d6nc\u00fcler ve Takip\u00e7iler: Ak\u0131ll\u0131 Otomasyonda Dersler\">\u00d6nc\u00fcler ve Takip\u00e7iler: Ak\u0131ll\u0131 Otomasyonda Dersler<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.rzautoassembly.com\/tr\/governments-crave-artificial-intelligence-but-intelligent-automation-adoption-stalls\/#The_Path_Forward_From_Ambition_to_Action\" title=\"\u0130leriye Giden Yol: H\u0131rstan Eyleme\">\u0130leriye Giden Yol: H\u0131rstan Eyleme<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.rzautoassembly.com\/tr\/governments-crave-artificial-intelligence-but-intelligent-automation-adoption-stalls\/#Conclusion_Unlocking_the_Potential_of_Intelligent_Automation_in_Government\" title=\"Sonu\u00e7: H\u00fck\u00fcmette Ak\u0131ll\u0131 Otomasyonun Potansiyelinin Kilidini A\u00e7mak\">Sonu\u00e7: H\u00fck\u00fcmette Ak\u0131ll\u0131 Otomasyonun Potansiyelinin Kilidini A\u00e7mak<\/a><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1 style=\"text-align: center;\"><span class=\"ez-toc-section\" id=\"Governments_Crave_Artificial_Intelligence_but_Intelligent_Automation_Adoption_Stalls\"><\/span><span style=\"font-family: 'times new roman', times, serif;\"><strong><b>Governments Crave Artificial Intelligence, but Intelligent Automation Adoption Stalls<\/b><\/strong><\/span><span class=\"ez-toc-section-end\"><\/span><\/h1>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"size-full wp-image-2615 aligncenter\" src=\"https:\/\/www.rzautoassembly.com\/wp-content\/smush-webp\/2025\/06\/HMS-\u7f51\u7edc-2025-\u5e74\u5ea6\u62a5\u544a-311-3-300x198-2.png.webp\" alt=\"\" width=\"300\" height=\"198\" srcset=\"https:\/\/www.rzautoassembly.com\/wp-content\/smush-webp\/2025\/06\/HMS-\u7f51\u7edc-2025-\u5e74\u5ea6\u62a5\u544a-311-3-300x198-2.png.webp 300w, https:\/\/www.rzautoassembly.com\/wp-content\/smush-webp\/2025\/06\/HMS-\u7f51\u7edc-2025-\u5e74\u5ea6\u62a5\u544a-311-3-300x198-2-18x12.png.webp 18w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/p>\n<p>D\u00fcnya \u00e7ap\u0131ndaki \u00fclkeler dijital \u00e7a\u011f\u0131 benimsemek i\u00e7in yar\u0131\u015f\u0131rken bir paradoks ortaya \u00e7\u0131kt\u0131: H\u00fck\u00fcmetler yapay zekan\u0131n d\u00f6n\u00fc\u015ft\u00fcr\u00fcc\u00fc potansiyelinin fark\u0131nda, ancak ak\u0131ll\u0131 otomasyonun benimsenmesi sinir bozucu derecede yava\u015f kal\u0131yor. Somut otomasyon ekipmanlar\u0131yla \u00fcretimi k\u00f6kten de\u011fi\u015ftiren end\u00fcstriyel otomasyonun aksine, kamu sekt\u00f6r\u00fcn\u00fcn yapay zeka destekli \u00e7\u00f6z\u00fcmlere do\u011fru yolculu\u011fu benzersiz zorluklarla engelleniyor. EY'nin yeni bir raporu, h\u00fck\u00fcmet liderlerinin 64%'sinin maliyet tasarrufuna odakland\u0131\u011f\u0131n\u0131 ve 63%'sinin yapay zekay\u0131 hizmet sunumunu iyile\u015ftirecek bir ara\u00e7 olarak g\u00f6rd\u00fc\u011f\u00fcn\u00fc, ancak yaln\u0131zca 26%'sinin bu teknolojileri kurulu\u015flar\u0131na entegre etti\u011fini ortaya koyuyor. H\u0131rs ve eylem aras\u0131ndaki bu u\u00e7urum, politika vizyonu ile pratik uygulama aras\u0131ndaki u\u00e7urumu kapatman\u0131n kritik bir ihtiya\u00e7 oldu\u011funu vurguluyor.<\/p>\n<h4><span class=\"ez-toc-section\" id=\"Barriers_to_Intelligent_Automation_in_the_Public_Sector\"><\/span><strong><b>Kamu Sekt\u00f6r\u00fcnde Ak\u0131ll\u0131 Otomasyonun \u00d6n\u00fcndeki Engeller<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Yakla\u015f\u0131k 500 \u00fcst d\u00fczey h\u00fck\u00fcmet y\u00f6neticisinin kat\u0131ld\u0131\u011f\u0131 anket, yapay zekan\u0131n kamu y\u00f6netimindeki vaatleri ile ger\u00e7ekli\u011fi aras\u0131ndaki \u00e7arp\u0131c\u0131 tezatlar\u0131 ortaya koyuyor:<\/p>\n<ul>\n<li><b><\/b><strong><b>Veri Gizlili\u011fi Bir Engel Olarak<\/b><\/strong>Ankete kat\u0131lanlar\u0131n 1'i (TP3T) veri g\u00fcvenli\u011fi endi\u015felerini \u00f6nemli bir engel olarak belirtiyor. Bu, hassas vatanda\u015f verilerinin yapay zeka modellerinin merkezinde yer ald\u0131\u011f\u0131 ak\u0131ll\u0131 otomasyona \u00f6zg\u00fc bir zorluk. Bu durum, veri risklerinin genellikle operasyonel \u00f6l\u00e7\u00fcmlerle s\u0131n\u0131rl\u0131 oldu\u011fu end\u00fcstriyel otomasyonla \u00e7eli\u015fiyor.<\/li>\n<li><b><\/b><strong><b>Altyap\u0131 Bo\u015fluklar\u0131<\/b><\/strong>Standart otomasyon ekipmanlar\u0131yla donat\u0131lm\u0131\u015f fabrikalar\u0131n aksine, h\u00fck\u00fcmetler birle\u015fik veri mimarilerinden yoksundur. Sadece 58%'nin net bir dijital d\u00f6n\u00fc\u015f\u00fcm stratejisi vard\u0131r ve bu da yapay zeka giri\u015fimlerini uygun temeller olmadan \u00e7aresiz b\u0131rakmaktad\u0131r.<\/li>\n<li><b><\/b><strong><b>Etik \u0130kilemler<\/b><\/strong>End\u00fcstriyel otomasyon verimlili\u011fe odaklan\u0131rken, h\u00fck\u00fcmetteki ak\u0131ll\u0131 otomasyon algoritmik \u00f6nyarg\u0131 ve hesap verebilirlik gibi sorunlar\u0131 \u00e7\u00f6zmelidir. Raporda, vatanda\u015flar\u0131n yaln\u0131zca 1'inin yapay zekay\u0131 y\u00f6netme konusunda h\u00fck\u00fcmetlere g\u00fcvendi\u011fi ve bu durumun benimsenmesini engelledi\u011fi belirtiliyor.<\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"Pioneers_vs_Followers_Lessons_in_Intelligent_Automation\"><\/span><strong><b>\u00d6nc\u00fcler ve Takip\u00e7iler: Ak\u0131ll\u0131 Otomasyonda Dersler<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>Erken benimseyenler (kendilerine \"\u00f6nc\u00fcler\" diyorlar) ba\u015far\u0131ya giden yolu g\u00f6steriyorlar:<\/p>\n<ul>\n<li><b><\/b><strong><b>\u00d6nce Altyap\u0131<\/b><\/strong>: 88% \u00f6nc\u00fc, 58% \"takip\u00e7i\"ye k\u0131yasla sa\u011flam bir veri altyap\u0131s\u0131 kurdu; bu da ak\u0131ll\u0131 otomasyonun geli\u015febilmesi i\u00e7in temel teknolojiye ihtiya\u00e7 duyuldu\u011funun bir kan\u0131t\u0131.<\/li>\n<li><b><\/b><strong><b>Yetenek Yat\u0131r\u0131m\u0131<\/b><\/strong>:\u00d6nc\u00fc h\u00fck\u00fcmetler, end\u00fcstriyel otomasyonun mekanik operat\u00f6rlerinden farkl\u0131 olarak ak\u0131ll\u0131 otomasyonun, veri bilimcileri ve politika uzmanlar\u0131ndan olu\u015fan disiplinler aras\u0131 ekipler gerektirdi\u011fini kabul ederek yapay zeka becerilerine \u00f6ncelik veriyor.<\/li>\n<li><b><\/b><strong><b>G\u00fcven Olu\u015fturma \u00d6nlemleri<\/b><\/strong>: Teksas'taki Amarillo gibi \u015fehirler, vatanda\u015flar\u0131 harekete ge\u00e7irmek i\u00e7in \"Emma\" gibi yapay zeka destekli asistanlar\u0131 kullan\u0131ma sunarak, ak\u0131ll\u0131 otomasyona olan g\u00fcvenin \u015feffaf ve insan merkezli tasar\u0131mla in\u015fa edilmesi gerekti\u011fini g\u00f6sterdi.<\/li>\n<\/ul>\n<h4><span class=\"ez-toc-section\" id=\"The_Path_Forward_From_Ambition_to_Action\"><\/span><strong><b>\u0130leriye Giden Yol: H\u0131rstan Eyleme<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>EY'nin raporu, kamu sekt\u00f6r\u00fcnde ak\u0131ll\u0131 otomasyonun benzersiz ihtiya\u00e7lar\u0131na g\u00f6re uyarlanm\u0131\u015f, ba\u015far\u0131l\u0131 bir yapay zeka benimsemesi i\u00e7in be\u015f temel unsuru \u00f6zetlemektedir:<\/p>\n<ol>\n<li><b><\/b><strong><b>Veri ve Teknoloji<\/b><\/strong>: End\u00fcstriyel otomasyonun standart protokollerini taklit eden, ancak dijital veri ak\u0131\u015flar\u0131 i\u00e7in g\u00fcvenli, birlikte \u00e7al\u0131\u015fabilir sistemler geli\u015ftirin.<\/li>\n<li><b><\/b><strong><b>Yetenek Ekosistemleri<\/b><\/strong>:Memurlara yapay zeka okuryazarl\u0131\u011f\u0131 konusunda e\u011fitim vererek b\u00fcrokrasileri manuel i\u015flemcilerden ak\u0131ll\u0131 otomasyon d\u00fczenleyicilerine d\u00f6n\u00fc\u015ft\u00fcrmek.<\/li>\n<li><b><\/b><strong><b>Uyarlanabilir K\u00fclt\u00fcr<\/b><\/strong>: End\u00fcstriyel otomasyonun sabit montaj hatlar\u0131ndan esnek \u00fcretim h\u00fccrelerine evrilmesi gibi, kat\u0131 i\u015f ak\u0131\u015flar\u0131ndan \u00e7evik \u00e7er\u00e7evelere ge\u00e7i\u015f.<\/li>\n<li><b><\/b><strong><b>Etik Y\u00f6netim<\/b><\/strong>: Yapay zeka kullan\u0131m\u0131na ili\u015fkin net kurallar belirleyin, algoritmalardaki \u00f6nyarg\u0131lar\u0131 ele al\u0131n; end\u00fcstriyel otomasyonun g\u00fcvenlik d\u00fczenlemelerinin bir ad\u0131m \u00f6tesine ge\u00e7in.<\/li>\n<li><b><\/b><strong><b>\u0130\u015fbirlik\u00e7i A\u011flar<\/b><\/strong>End\u00fcstriyel otomasyon sat\u0131c\u0131lar\u0131n\u0131n fabrika otomasyonunu nas\u0131l destekledi\u011fine benzer \u015fekilde, ak\u0131ll\u0131 otomasyon ara\u00e7lar\u0131n\u0131n nas\u0131l entegre edilece\u011fini anlayan \u00f6zel sekt\u00f6r uzmanlar\u0131yla ortakl\u0131k kurun<\/li>\n<\/ol>\n<h4><span class=\"ez-toc-section\" id=\"Conclusion_Unlocking_the_Potential_of_Intelligent_Automation_in_Government\"><\/span><strong><b>Sonu\u00e7: H\u00fck\u00fcmette Ak\u0131ll\u0131 Otomasyonun Potansiyelinin Kilidini A\u00e7mak<\/b><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p>H\u00fck\u00fcmetlerin \u00f6n\u00fcndeki zorluk a\u00e7\u0131k: Ak\u0131ll\u0131 otomasyon, kamu hizmetlerini yeniden icat etmek i\u00e7in benzersiz bir f\u0131rsat sunuyor, ancak end\u00fcstriyel otomasyonun daha \u00f6nce kar\u015f\u0131la\u015fmad\u0131\u011f\u0131 engellerin \u00fcstesinden gelinmesini gerektiriyor. G\u00fcvene \u00f6ncelik vererek, yetene\u011fe yat\u0131r\u0131m yaparak ve sa\u011flam veri altyap\u0131lar\u0131 olu\u015fturarak h\u00fck\u00fcmetler, t\u0131pk\u0131 end\u00fcstriyel otomasyonun \u00fcretimi daha iyiye do\u011fru d\u00f6n\u00fc\u015ft\u00fcrd\u00fc\u011f\u00fc gibi, yapay zekay\u0131 moda bir terimden vatanda\u015flara ger\u00e7ekten hizmet eden bir araca d\u00f6n\u00fc\u015ft\u00fcrebilirler.<\/p>\n<p>EY'den Catherine Friday'in uyard\u0131\u011f\u0131 gibi, \"Harekete ge\u00e7meyen h\u00fck\u00fcmetler teknolojik olarak geride kalma riskiyle kar\u015f\u0131 kar\u015f\u0131ya.\" \u0130leriye giden yol, end\u00fcstriyel otomasyon modelini kopyalamaktan de\u011fil, inovasyonu hesap verebilirlikle dengeleyen ak\u0131ll\u0131 otomasyon i\u00e7in yeni bir paradigma yaratmaktan ge\u00e7iyor. \u00dclkeler, istek ve uygulama aras\u0131ndaki bo\u015flu\u011fu kapatabilirlerse, yaln\u0131zca hizmet sunumunu iyile\u015ftirmekle kalmayacak, ayn\u0131 zamanda dijital \u00e7a\u011fda vatanda\u015flar ve h\u00fck\u00fcmetleri aras\u0131ndaki ili\u015fkiyi de yeniden tan\u0131mlayacaklar. Harekete ge\u00e7me zaman\u0131 \u015fimdi; ak\u0131ll\u0131 otomasyon, kamu sekt\u00f6r\u00fcn\u00fcn \u00f6zel sekt\u00f6r\u00fcn gerisinde kald\u0131\u011f\u0131 bir ba\u015fka teknolojiye d\u00f6n\u00fc\u015fmeden \u00f6nce.<\/p>","protected":false},"excerpt":{"rendered":"<p>Governments Crave Artificial Intelligence, but Intelligent Automation Adoption Stalls As nations worldwide race to embrace the digital age, a paradox has emerged: Governments recognize the transformative potential of artificial intelligence, yet intelligent automation adoption remains frustratingly slow. Unlike industrial automation, which revolutionized manufacturing through tangible automation equipment, the public sector\u2019s journey toward AI-powered solutions is [\u2026]<\/p>","protected":false},"author":1,"featured_media":2605,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[126,1,124],"tags":[],"class_list":["post-2588","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-company-news","category-news","category-technology"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.rzautoassembly.com\/tr\/wp-json\/wp\/v2\/posts\/2588","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.rzautoassembly.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.rzautoassembly.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/tr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/tr\/wp-json\/wp\/v2\/comments?post=2588"}],"version-history":[{"count":0,"href":"https:\/\/www.rzautoassembly.com\/tr\/wp-json\/wp\/v2\/posts\/2588\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/tr\/wp-json\/wp\/v2\/media\/2605"}],"wp:attachment":[{"href":"https:\/\/www.rzautoassembly.com\/tr\/wp-json\/wp\/v2\/media?parent=2588"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/tr\/wp-json\/wp\/v2\/categories?post=2588"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.rzautoassembly.com\/tr\/wp-json\/wp\/v2\/tags?post=2588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}