{"id":172401,"date":"2026-01-29T17:36:12","date_gmt":"2026-01-29T17:36:12","guid":{"rendered":"https:\/\/kamucalisani.net\/?p=172401"},"modified":"2026-01-29T17:36:12","modified_gmt":"2026-01-29T17:36:12","slug":"etiya-amazon-aws-tabanli-agentic-ai-altyapisiyla-operasyonel-verimlilik-sagladi","status":"publish","type":"post","link":"https:\/\/kamucalisani.net\/index.php\/2026\/01\/29\/etiya-amazon-aws-tabanli-agentic-ai-altyapisiyla-operasyonel-verimlilik-sagladi\/","title":{"rendered":"Etiya, Amazon AWS tabanl\u0131 Agentic AI altyap\u0131s\u0131yla operasyonel verimlilik sa\u011flad\u0131"},"content":{"rendered":"

<\/span> Kurumsal m\u00fc\u015fteri deneyimi \u00e7\u00f6z\u00fcmleri geli\u015ftiren yaz\u0131l\u0131m \u015firketi Etiya<\/strong>, yapay zeka tabanl\u0131 \u00fcr\u00fcnlerinde Amazon Web Services (AWS)<\/strong> altyap\u0131s\u0131n\u0131 kullanarak operasyonel s\u00fcre\u00e7lerinde y\u00fczde 34\u2019e varan verimlilik art\u0131\u015f\u0131 sa\u011flad\u0131\u011f\u0131n\u0131 a\u00e7\u0131klad\u0131. \u015eirket, \u00f6zellikle \u00fcretken yapay zeka (GenAI) ve Agentic AI odakl\u0131 uygulamalarda bulut tabanl\u0131 servislerden yararlan\u0131yor. <\/figure>\n

\u015eirketlere anahtar teslim dijital d\u00f6n\u00fc\u015f\u00fcm hizmeti sunan Etiya<\/strong>, 2004 y\u0131l\u0131nda T\u00fcrkiye’de kuruldu. G\u00fcn\u00fcm\u00fczde yakla\u015f\u0131k 1600 \u00e7al\u0131\u015fan\u0131 ile 7 \u00fclkede ve 10 ofisiyle hizmet veriyor. \u015eirket, dijital d\u00f6n\u00fc\u015f\u00fcmle maliyet avantaj\u0131 yarat\u0131yor; m\u00fc\u015fteri deneyimini g\u00fc\u00e7lendirerek de\u011fer \u00fcretimini ve gelir b\u00fcy\u00fcmesini h\u0131zland\u0131r\u0131yor.<\/p>\n

Etiya, mikroservis tabanl\u0131 yaz\u0131l\u0131m mimarisi ve a\u00e7\u0131k API yap\u0131s\u0131 sayesinde \u00e7\u00f6z\u00fcmlerini farkl\u0131 kurumsal sistemlere entegre edebiliyor. \u015eirket, AWS entegrasyonu kapsam\u0131nda Amazon Bedrock<\/strong> ve Amazon SageMaker<\/strong> gibi servisler \u00fczerinden b\u00fcy\u00fck dil modelleri (LLM) ile \u00e7al\u0131\u015fan uygulamalar geli\u015ftiriyor. Bu yap\u0131n\u0131n, yapay zeka tabanl\u0131 uygulamalar\u0131n daha h\u0131zl\u0131 devreye al\u0131nmas\u0131n\u0131 ve \u00f6l\u00e7eklenmesini kolayla\u015ft\u0131rd\u0131\u011f\u0131 belirtiliyor.<\/p>\n

Amazon Titan<\/strong> modellerinin kullan\u0131m\u0131yla birlikte metinlerin ba\u011flamsal analizinde daha tutarl\u0131 sonu\u00e7lar elde edilirken, chatbot ve dijital asistan \u00e7\u00f6z\u00fcmlerinde daha do\u011fal etkile\u015fimlerin hedeflendi\u011fi ifade ediliyor.<\/p>\n

Etiya, mikroservis tabanl\u0131 yaz\u0131l\u0131m mimarisi ve a\u00e7\u0131k API yap\u0131s\u0131 sayesinde \u00e7\u00f6z\u00fcmlerini farkl\u0131 kurumsal sistemlere entegre edebiliyor. \u015eirket, AWS entegrasyonu kapsam\u0131nda Amazon Bedrock ve Amazon SageMaker gibi servisler \u00fczerinden b\u00fcy\u00fck dil modelleri (LLM) ile \u00e7al\u0131\u015fan uygulamalar geli\u015ftiriyor. Bu yap\u0131n\u0131n, yapay zeka tabanl\u0131 uygulamalar\u0131n daha h\u0131zl\u0131 devreye al\u0131nmas\u0131n\u0131 ve \u00f6l\u00e7eklenmesini kolayla\u015ft\u0131rd\u0131\u011f\u0131 belirtiliyor.<\/p>\n

Amazon Titan modellerinin kullan\u0131m\u0131yla birlikte metinlerin ba\u011flamsal analizinde daha tutarl\u0131 sonu\u00e7lar elde edilirken, chatbot ve dijital asistan \u00e7\u00f6z\u00fcmlerinde daha do\u011fal etkile\u015fimlerin hedeflendi\u011fi ifade ediliyor.<\/p>\n

\u015eirketin payla\u015ft\u0131\u011f\u0131 bilgilere g\u00f6re, Agentic AI mimarisi sayesinde chatbot \u00fczerinden u\u00e7tan uca tamamlanan m\u00fc\u015fteri etkile\u015fimlerinin oran\u0131 2,35 kat artt\u0131. Bu yakla\u015f\u0131m, canl\u0131 destek kanallar\u0131na aktar\u0131lan taleplerin azalmas\u0131na ve destek ekiplerinin daha karma\u015f\u0131k vakalara odaklanmas\u0131na olanak tan\u0131yor.<\/p>\n

AWS altyap\u0131s\u0131n\u0131n devreye al\u0131nmas\u0131yla birlikte sistem bak\u0131m y\u00fck\u00fcn\u00fcn azald\u0131\u011f\u0131, operasyonel maliyetlerde ise y\u00fczde 30\u2019a varan bir optimizasyon sa\u011fland\u0131\u011f\u0131 aktar\u0131l\u0131yor. Bu durumun, ekiplerin \u00fcr\u00fcn geli\u015ftirme ve yeni kullan\u0131m senaryolar\u0131na daha fazla zaman ay\u0131rabilmesini m\u00fcmk\u00fcn k\u0131ld\u0131\u011f\u0131 belirtiliyor.<\/p>\n

Etiya\u2019n\u0131n yapay zeka altyap\u0131s\u0131 kapsam\u0131nda \u00f6ne \u00e7\u0131kan ba\u015fl\u0131klar \u015fu \u015fekilde s\u0131ralan\u0131yor:<\/p>\n

    \n
  • \u00dcretken yapay zeka\u00a0uygulamalar\u0131n\u0131n Amazon Bedrock \u00fczerinde \u00e7al\u0131\u015ft\u0131r\u0131lmas\u0131<\/li>\n
  • Amazon Titan modelleri ile ba\u011flamsal do\u011frulu\u011fu y\u00fcksek metin \u00fcretimi<\/li>\n
  • Agentic AI yakla\u015f\u0131m\u0131yla m\u00fc\u015fteri taleplerinin dijital kanallar \u00fczerinden y\u00f6netilmesi<\/li>\n
  • Bulut tabanl\u0131 altyap\u0131 ile \u00f6l\u00e7eklenebilirlik ve operasyonel maliyet optimizasyonu<\/li>\n<\/ul>\n

    Etiya Kurucu Orta\u011f\u0131 ve CEO\u2019su Aslan Do\u011fan, AWS ile yap\u0131lan \u00e7al\u0131\u015fman\u0131n yapay zeka yat\u0131r\u0131mlar\u0131n\u0131n \u00f6l\u00e7eklenmesinde etkili oldu\u011funu belirtirken, AWS T\u00fcrkiye Genel M\u00fcd\u00fcr\u00fc Berrin \u00d6zsel\u00e7uk da bu t\u00fcr projelerin bulut ve \u00fcretken yapay zekan\u0131n kurumsal kullan\u0131m alanlar\u0131n\u0131 geni\u015fletti\u011fine dikkat \u00e7ekti.<\/p>\n\n

    Kaynak\u00a0 :\u00a0https:\/\/www.donanimhaber.com\/etiya-amazon-aws-tabanli-agentic-ai-ile-verimliligi-artirdi–201471<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

    Kurumsal m\u00fc\u015fteri deneyimi \u00e7\u00f6z\u00fcmleri geli\u015ftiren yaz\u0131l\u0131m \u015firketi Etiya, yapay zeka tabanl\u0131 \u00fcr\u00fcnlerinde Amazon Web Services (AWS) altyap\u0131s\u0131n\u0131 kullanarak operasyonel s\u00fcre\u00e7lerinde y\u00fczde 34\u2019e varan verimlilik art\u0131\u015f\u0131 sa\u011flad\u0131\u011f\u0131n\u0131 a\u00e7\u0131klad\u0131. \u015eirket …<\/p>\n","protected":false},"author":1,"featured_media":172402,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[533,11260,4678,3468,571],"class_list":["post-172401","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-amazon","tag-etiya","tag-tabanli","tag-uygulamalar","tag-yapay-zeka"],"_links":{"self":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/172401","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/comments?post=172401"}],"version-history":[{"count":1,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/172401\/revisions"}],"predecessor-version":[{"id":172404,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/172401\/revisions\/172404"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media\/172402"}],"wp:attachment":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media?parent=172401"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/categories?post=172401"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/tags?post=172401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}