{"id":30125,"date":"2026-02-23T17:03:23","date_gmt":"2026-02-23T17:03:23","guid":{"rendered":"https:\/\/nekudos.com\/sap-ai-pilot-projeleri\/"},"modified":"2026-02-23T17:03:45","modified_gmt":"2026-02-23T17:03:45","slug":"sap-ai-pilot-projeleri","status":"publish","type":"post","link":"https:\/\/nekudos.com\/en\/sap-ai-pilot-projeleri\/","title":{"rendered":"SAP AI Pilot Projeleriyle Yapay Zeka Yat\u0131r\u0131mlar\u0131n\u0131 G\u00fcvenle Test Edin"},"content":{"rendered":"<h1 id=\"sapaipilotprojeleri\"><strong>SAP AI Pilot Projeleri<\/strong><\/h1>\n<hr \/>\n<h3 id=\"giri\"><strong>Giri\u015f<\/strong><\/h3>\n<p>SAP AI Pilot Projeleri, i\u015fletmelerin yapay zekay\u0131 ger\u00e7ek s\u00fcre\u00e7lere entegre etmeden \u00f6nce g\u00fcvenli ve kontroll\u00fc bi\u00e7imde test etti\u011fi \u00f6n uygulamalard\u0131r. Bir <strong>sap ai pilot<\/strong>, organizasyonun kendi veri yap\u0131s\u0131na, i\u015f senaryosuna ve teknik altyap\u0131s\u0131na uygun yapay zeka modelini do\u011frulamak i\u00e7in kullan\u0131l\u0131r. Bu yakla\u015f\u0131m, AI yat\u0131r\u0131mlar\u0131n\u0131n geri d\u00f6n\u00fc\u015f oran\u0131n\u0131 art\u0131r\u0131rken riskleri minimize eder.  <\/p>\n<hr \/>\n<h3 id=\"sapaipilotprojeleritanm\"><strong>SAP AI Pilot Projeleri tan\u0131m\u0131<\/strong><\/h3>\n<p>Bir <strong>SAP AI Pilot Projesi<\/strong>, SAP sistemlerinde belirli bir s\u00fcreci desteklemek, otomatikle\u015ftirmek veya optimize etmek amac\u0131yla tasarlanan s\u0131n\u0131rl\u0131 kapsaml\u0131 yapay zeka uygulamas\u0131d\u0131r. Ama\u00e7, modelin performans\u0131n\u0131 ger\u00e7ek veriler \u00fczerinde test etmek, algoritman\u0131n do\u011fru sonu\u00e7 \u00fcretip \u00fcretmedi\u011fini g\u00f6rmek ve entegrasyon s\u00fcrecini do\u011frulamakt\u0131r.<br \/>\nBu a\u015fama, geni\u015f \u00f6l\u00e7ekli \u00fcr\u00fcnle\u015ftirme \u00f6ncesinde teknik ge\u00e7erlilik (technical feasibility) ve i\u015f de\u011feri (business value) do\u011frulamas\u0131 yap\u0131lmas\u0131n\u0131 sa\u011flar.  <\/p>\n<hr \/>\n<h3 id=\"sapaipilotnaslalr\"><strong>sap ai pilot nas\u0131l \u00e7al\u0131\u015f\u0131r<\/strong><\/h3>\n<p>Bir <strong>sap ai pilot<\/strong>, belirli bir i\u015f s\u00fcreci i\u00e7in veri se\u00e7imi, model olu\u015fturma, SAP entegrasyonu ve geri bildirim d\u00f6ng\u00fcs\u00fc ad\u0131mlar\u0131n\u0131 izler. Pilot s\u00fcreci, hem teknik ekiplere hem de i\u015f birimlerine performans ve g\u00fcvenilirlik hakk\u0131nda \u00f6l\u00e7\u00fclebilir \u00e7\u0131kt\u0131lar sunar.  <\/p>\n<h4 id=\"temelparametrelerveayarlar\"><strong>Temel parametreler ve ayarlar<\/strong><\/h4>\n<p>Pilot tasar\u0131m\u0131 yap\u0131l\u0131rken verinin kayna\u011f\u0131, hacmi, etiketleme kalitesi ve modelin e\u011fitimi i\u00e7in kullan\u0131lacak parametreler a\u00e7\u0131k bi\u00e7imde tan\u0131mlanmal\u0131d\u0131r. SAP BTP (Business Technology Platform) \u00fczerinde AI Core, AI Launchpad veya SAP Data Intelligence servisleri bu parametrelerin y\u00f6netimi i\u00e7in kullan\u0131l\u0131r.<br \/>\nModel metrikleri (\u00f6rne\u011fin do\u011fruluk, latency, F1 skoru), test ortam\u0131 konfig\u00fcrasyonu ve API ba\u011flant\u0131lar\u0131 proje ba\u015flang\u0131c\u0131nda d\u00fczenlenmelidir.  <\/p>\n<h4 id=\"skyaplanhatalarvekanmayntemleri\"><strong>S\u0131k yap\u0131lan hatalar ve ka\u00e7\u0131nma y\u00f6ntemleri<\/strong><\/h4>\n<ul>\n<li>Uygun veri kalitesi do\u011frulamas\u0131 yap\u0131lmamas\u0131  <\/li>\n<li>SAP sistemlerinden gelen loglar\u0131n hesaba kat\u0131lmamas\u0131  <\/li>\n<li>Modelin yeniden e\u011fitilmesi gereken durumlar\u0131n izlenmemesi<br \/>\nBu hatalardan ka\u00e7\u0131nmak i\u00e7in d\u00fczenli model izlemesi, veri boru hatt\u0131 (data pipeline) otomasyonu ve BTP i\u00e7erisindeki MLOps servislerinin etkin kullan\u0131m\u0131 \u00f6nerilir.  <\/li>\n<\/ul>\n<h4 id=\"gereksistemlerdeuygulamarnekleri\"><strong>Ger\u00e7ek sistemlerde uygulama \u00f6rnekleri<\/strong><\/h4>\n<p>Bir \u00fcretim firmas\u0131n\u0131n stok tahmin s\u00fcrecinde <strong>sap ai pilot<\/strong> kurulumu yap\u0131ld\u0131\u011f\u0131nda, makine sens\u00f6r verileri SAP S\/4HANA\u2019dan al\u0131n\u0131r, BTP AI Core\u2019da model e\u011fitilir ve sonu\u00e7lar Fiori uygulamas\u0131nda g\u00f6rselle\u015ftirilir.<br \/>\nBu sayede kullan\u0131c\u0131 ger\u00e7ek sistem \u00fczerinde, \u00fcretim planlamas\u0131 \u00f6ncesi tahmin performans\u0131n\u0131 g\u00f6zlemleyebilir.  <\/p>\n<hr \/>\n<h3 id=\"teknikaklamaderinseviye\"><strong>Teknik a\u00e7\u0131klama (derin seviye)<\/strong><\/h3>\n<p><strong>SAP AI Pilot<\/strong> mimarisi, veri kaynaklar\u0131yla makine \u00f6\u011frenmesi modelleri aras\u0131nda y\u00fcksek entegrasyon gerektirir. SAP BTP \u00fczerinde kurulan ortam, veri katman\u0131nda SAP Data Intelligence, model katman\u0131nda AI Core, kontrol katman\u0131nda ise AI Launchpad kullan\u0131r.<br \/>\nVeri ak\u0131\u015f\u0131, SAP sistemlerinden OData veya CDS View arac\u0131l\u0131\u011f\u0131yla \u00e7\u0131kar; modele REST API \u00fczerinden g\u00f6nderilir; sonu\u00e7lar yeniden SAP uygulamalar\u0131 i\u00e7ine g\u00f6m\u00fcl\u00fcr.  <\/p>\n<p>Performans optimizasyonu i\u00e7in i\u015flem kaynaklar\u0131 Kubernetes tabanl\u0131 pod\u2019lar halinde y\u00f6netilir. Multi-tenant senaryolarda her tenant i\u00e7in model parametreleri ayr\u0131\u015ft\u0131r\u0131l\u0131r. Bu yap\u0131, AI otomasyonlar\u0131n\u0131n SAP\u2019nin g\u00fcvenlik ve uyumluluk standartlar\u0131na uygun \u015fekilde \u00e7al\u0131\u015fmas\u0131n\u0131 sa\u011flar.  <\/p>\n<hr \/>\n<h3 id=\"letmeleriinnedenkritiktir\"><strong>\u0130\u015fletmeler i\u00e7in neden kritiktir<\/strong><\/h3>\n<ul>\n<li><strong>Performans:<\/strong> S\u00fcre\u00e7lerde tahmin ve otomasyon h\u0131z\u0131n\u0131 anlaml\u0131 bi\u00e7imde art\u0131r\u0131r.  <\/li>\n<li><strong>G\u00fcvenilirlik:<\/strong> Ger\u00e7ek veriler \u00fczerinde test yap\u0131labildi\u011fi i\u00e7in modelin hatal\u0131 sonu\u00e7 \u00fcretme riski azal\u0131r.  <\/li>\n<li><strong>Maliyet:<\/strong> Erken validasyon, geni\u015f \u00f6l\u00e7ekli hatal\u0131 yat\u0131r\u0131mlar\u0131n \u00f6n\u00fcne ge\u00e7er.  <\/li>\n<li><strong>\u00d6l\u00e7ekleme:<\/strong> Pilot sonu\u00e7lar\u0131yla birlikte b\u00fcy\u00fck sistemlere ge\u00e7i\u015f stratejisi olu\u015fturulabilir.  <\/li>\n<li><strong>Otomasyon:<\/strong> Rutin i\u015flemlerin ak\u0131ll\u0131 g\u00f6revlerle otomatikle\u015fmesini sa\u011flar.  <\/li>\n<li><strong>Karar alma:<\/strong> Tahmine dayal\u0131 analitik \u00e7\u0131kt\u0131lar, y\u00f6neticilerin daha h\u0131zl\u0131 karar vermesine katk\u0131 sunar.  <\/li>\n<li><strong>Operasyonel verimlilik:<\/strong> S\u00fcre\u00e7 baz\u0131nda \u00f6l\u00e7\u00fclebilir KPI geli\u015fimi yarat\u0131r.  <\/li>\n<\/ul>\n<hr \/>\n<h3 id=\"bukavramnekudosteknolojiiindenasluygulanr\"><strong>Bu kavram NeKuDos Teknoloji i\u00e7inde nas\u0131l uygulan\u0131r<\/strong><\/h3>\n<p>NeKuDos Teknoloji, <strong>sap ai pilot<\/strong> projelerinde SAP BTP servislerini kullanarak veri entegrasyonunu merkezi bi\u00e7imde y\u00f6netir. \u00d6rne\u011fin, BTP AI Core \u00fczerinden e\u011fitilen modeller do\u011frudan SAP S\/4HANA veya SuccessFactors sistemlerine ba\u011flan\u0131r.<br \/>\nEk ekipler, AI modellerinin \u00fcretim ortam\u0131na ge\u00e7meden \u00f6nce test senaryolar\u0131n\u0131 olu\u015fturur ve sonu\u00e7lar\u0131 SAP Launchpad panellerinden izler. Bu yakla\u015f\u0131m, kurumsal \u00f6l\u00e7ekte s\u00fcrd\u00fcr\u00fclebilir AI y\u00f6neti\u015fimi sa\u011flar.  <\/p>\n<hr \/>\n<h3 id=\"sapdanmanlarityneticilerictolariingerekbirsenaryo\"><strong>SAP dan\u0131\u015fmanlar\u0131, IT y\u00f6neticileri, CTOlar i\u00e7in ger\u00e7ek bir senaryo<\/strong><\/h3>\n<ol>\n<li><strong>Sorun:<\/strong> \u00c7ok lokasyonlu bir \u00fcretim \u015firketi, bak\u0131m planlamas\u0131nda tahmin hatalar\u0131 ya\u015f\u0131yor.  <\/li>\n<li><strong>Ba\u011flam:<\/strong> SAP S\/4HANA bak\u0131m mod\u00fcl\u00fc kullan\u0131l\u0131yor ancak manuel analizler zaman al\u0131yor.  <\/li>\n<li><strong>Kavram\u0131n uygulanmas\u0131:<\/strong> \u015eirket, <strong>sap ai pilot<\/strong> projesi ile sens\u00f6r verilerini SAP Data Intelligence \u00fczerinden toplar ve BTP AI Core\u2019da kestirimci bak\u0131m modeli olu\u015fturur.  <\/li>\n<li><strong>Sonu\u00e7:<\/strong> Model, bak\u0131m aral\u0131klar\u0131n\u0131 y\u00fczde 18 daha do\u011fru tahmin eder hale gelir.  <\/li>\n<li><strong>\u0130\u015f etkisi:<\/strong> Duru\u015f s\u00fcresi azal\u0131r, bak\u0131m maliyeti d\u00fc\u015fer, operasyon planlamas\u0131 stabil hale gelir. Bu proje daha sonra kurumsal <strong>ai poc<\/strong> referans\u0131na d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr.  <\/li>\n<\/ol>\n<hr \/>\n<h3 id=\"skyaplanhatalarveeniyiuygulamalar\"><strong>S\u0131k yap\u0131lan hatalar ve en iyi uygulamalar<\/strong><\/h3>\n<p><strong>Hatalar:<\/strong><\/p>\n<ul>\n<li>Yetersiz veri ke\u015ffi ve \u00f6n i\u015fleme  <\/li>\n<li>SAP sistemleriyle eksik entegrasyon  <\/li>\n<li>Pilot s\u00fcresinin yanl\u0131\u015f belirlenmesi  <\/li>\n<li>Sonu\u00e7 metriklerinin i\u015f KPI\u2019lar\u0131yla ili\u015fkilendirilmemesi  <\/li>\n<\/ul>\n<p><strong>En iyi uygulamalar:<\/strong><\/p>\n<ul>\n<li>Pilot verisetini k\u00fc\u00e7\u00fck ama temsili se\u00e7mek  <\/li>\n<li>SAP BTP \u00fczerinde CI\/CD boru hat\u0131 kurmak  <\/li>\n<li>Model ya\u015fam d\u00f6ng\u00fcs\u00fcn\u00fc (ML Lifecycle) SAP AI Launchpad ile y\u00f6netmek  <\/li>\n<li>Teknik ve i\u015f ekipleri aras\u0131nda erken fazda ortak metrik tan\u0131mlamak  <\/li>\n<\/ul>\n<hr \/>\n<h3 id=\"sonu\"><strong>Sonu\u00e7<\/strong><\/h3>\n<p><strong>SAP AI Pilot Projeleri<\/strong>, yapay zekan\u0131n SAP ekosisteminde g\u00fcvenli, \u00f6l\u00e7\u00fclebilir ve \u00f6l\u00e7eklenebilir \u015fekilde hayata ge\u00e7irilmesi i\u00e7in kritik bir ad\u0131md\u0131r. Do\u011fru kurguland\u0131\u011f\u0131nda hem teknik do\u011fruluk hem de i\u015f de\u011feri \u00fcretir.<br \/>\nNeKuDos Teknoloji\u2019nin deneyimi g\u00f6steriyor ki iyi tasarlanm\u0131\u015f bir <strong>sap ai pilot<\/strong>, uzun vadeli AI stratejilerinin en sa\u011flam temelini olu\u015fturur.  <\/p>","protected":false},"excerpt":{"rendered":"<p>SAP AI Pilot Projeleri Giri\u015f SAP AI Pilot Projeleri, i\u015fletmelerin yapay zekay\u0131 ger\u00e7ek s\u00fcre\u00e7lere entegre etmeden \u00f6nce g\u00fcvenli ve kontroll\u00fc bi\u00e7imde test etti\u011fi \u00f6n uygulamalard\u0131r. Bir sap ai pilot, organizasyonun kendi veri yap\u0131s\u0131na, i\u015f senaryosuna ve teknik altyap\u0131s\u0131na uygun yapay zeka modelini do\u011frulamak i\u00e7in kullan\u0131l\u0131r. Bu yakla\u015f\u0131m, AI yat\u0131r\u0131mlar\u0131n\u0131n geri d\u00f6n\u00fc\u015f oran\u0131n\u0131 art\u0131r\u0131rken riskleri minimize&hellip;<\/p>","protected":false},"author":2,"featured_media":30126,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_sitemap_exclude":false,"_sitemap_priority":"","_sitemap_frequency":"","footnotes":""},"categories":[122],"tags":[],"class_list":["post-30125","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sap","category-122","description-off"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>SAP AI Pilot Projeleriyle Yapay Zeka Yat\u0131r\u0131mlar\u0131n\u0131 G\u00fcvenle Test Edin - NeKuDos Teknoloji<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/nekudos.com\/en\/sap-ai-pilot-projeleri\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SAP AI Pilot Projeleriyle Yapay Zeka Yat\u0131r\u0131mlar\u0131n\u0131 G\u00fcvenle Test Edin - NeKuDos Teknoloji\" \/>\n<meta property=\"og:description\" content=\"SAP AI Pilot Projeleri Giri\u015f SAP AI Pilot Projeleri, i\u015fletmelerin yapay zekay\u0131 ger\u00e7ek s\u00fcre\u00e7lere entegre etmeden \u00f6nce g\u00fcvenli ve kontroll\u00fc bi\u00e7imde test etti\u011fi \u00f6n uygulamalard\u0131r. Bir sap ai pilot, organizasyonun kendi veri yap\u0131s\u0131na, i\u015f senaryosuna ve teknik altyap\u0131s\u0131na uygun yapay zeka modelini do\u011frulamak i\u00e7in kullan\u0131l\u0131r. 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