{"id":30128,"date":"2026-02-24T17:03:19","date_gmt":"2026-02-24T17:03:19","guid":{"rendered":"https:\/\/nekudos.com\/sap-ai-proof-of-value\/"},"modified":"2026-02-24T17:03:36","modified_gmt":"2026-02-24T17:03:36","slug":"sap-ai-proof-of-value","status":"publish","type":"post","link":"https:\/\/nekudos.com\/en\/sap-ai-proof-of-value\/","title":{"rendered":"SAP AI Proof of Value ile Yapay Zeka De\u011ferini Do\u011frulamak"},"content":{"rendered":"<h1 id=\"sapaiproofofvalue\"><strong>SAP AI Proof of Value<\/strong><\/h1>\n<hr \/>\n<h3 id=\"giri\"><strong>Giri\u015f<\/strong><\/h3>\n<p>SAP AI Proof of Value (sap ai pov), yapay zek\u00e2 projelerinde teknik potansiyelin ve i\u015f de\u011ferinin do\u011frulanmas\u0131 s\u00fcrecidir. SAP ekosisteminde, AI \u00e7\u00f6z\u00fcmleri sunmadan \u00f6nce ger\u00e7ek bir i\u015f etkisi yarat\u0131p yaratmayaca\u011f\u0131n\u0131 \u00f6l\u00e7mek i\u00e7in kullan\u0131l\u0131r. Bu model, AI value kavram\u0131n\u0131 somut hale getirerek yaln\u0131zca fikir a\u015famas\u0131nda kalan projelerin somut \u00e7\u0131kt\u0131lara d\u00f6n\u00fc\u015fmesini sa\u011flar.  <\/p>\n<hr \/>\n<h3 id=\"sapaiproofofvaluetanm\"><strong>SAP AI Proof of Value tan\u0131m\u0131<\/strong><\/h3>\n<p>sap ai pov, bir yapay zek\u00e2 \u00e7\u00f6z\u00fcm\u00fcn\u00fcn belirli bir i\u015f s\u00fcrecinde sa\u011flad\u0131\u011f\u0131 de\u011fer ve uygulanabilirli\u011fin k\u0131sa s\u00fcreli olarak test edilmesidir. SAP ortamlar\u0131nda bu yakla\u015f\u0131m, y\u00fcksek yat\u0131r\u0131m gerektiren AI entegrasyonlar\u0131ndan \u00f6nce riskleri azaltmak i\u00e7in tasarlan\u0131r. Ama\u00e7, teknik do\u011frulama ile i\u015f de\u011ferini birlikte de\u011ferlendirmektir.  <\/p>\n<hr \/>\n<h3 id=\"sapaipovnaslalr\"><strong>sap ai pov nas\u0131l \u00e7al\u0131\u015f\u0131r<\/strong><\/h3>\n<p>Bir SAP AI Proof of Value s\u00fcreci, net tan\u0131ml\u0131 bir i\u015f senaryosu \u00fczerinde s\u0131n\u0131rl\u0131 kapsaml\u0131 bir yapay zek\u00e2 prototipinin olu\u015fturulmas\u0131yla ba\u015flar. S\u00fcre\u00e7, veri setlerinin belirlenmesi, SAP BTP veya SAP AI Core \u00fczerinde model e\u011fitimi, metriklerin tan\u0131mlanmas\u0131 ve sonu\u00e7lar\u0131n i\u015f g\u00f6stergeleriyle k\u0131yaslanmas\u0131 ad\u0131mlar\u0131ndan olu\u015fur.  <\/p>\n<h4 id=\"temelparametrelerveayarlar\"><strong>Temel parametreler ve ayarlar<\/strong><\/h4>\n<ul>\n<li><strong>Veri kayna\u011f\u0131 tan\u0131m\u0131:<\/strong> SAP S\/4HANA, SAP SuccessFactors veya d\u0131\u015f sistem entegrasyonlar\u0131 belirlenir.  <\/li>\n<li><strong>De\u011fer metri\u011fi:<\/strong> AI value \u00f6l\u00e7\u00fcm\u00fc i\u00e7in F1-score, tahmin do\u011frulu\u011fu veya maliyet optimizasyon oran\u0131 se\u00e7ilir.  <\/li>\n<li><strong>Ortama entegrasyon:<\/strong> SAP BTP \u00fczerinde AI Service Layer, OData API\u2019leri veya REST entegrasyonlar\u0131 yap\u0131land\u0131r\u0131l\u0131r.  <\/li>\n<\/ul>\n<h4 id=\"skyaplanhatalarvekanmayntemleri\"><strong>S\u0131k yap\u0131lan hatalar ve ka\u00e7\u0131nma y\u00f6ntemleri<\/strong><\/h4>\n<ul>\n<li>Yetersiz veri kalitesi nedeniyle model \u00e7\u0131kt\u0131lar\u0131n\u0131n hatal\u0131 de\u011ferlendirilmesi.  <\/li>\n<li>\u0130\u015f s\u00fcreci sahiplerinin erken dahil edilmemesi.  <\/li>\n<li>AI mimarisinin SAP g\u00fcvenlik ve uyumluluk y\u00f6nergeleriyle uyumlu tasarlanmamas\u0131.<br \/>\nBu hatalardan ka\u00e7\u0131nmak i\u00e7in veri y\u00f6neti\u015fimi ve model do\u011frulama d\u00f6ng\u00fcleri ba\u015ftan planlanmal\u0131d\u0131r.  <\/li>\n<\/ul>\n<h4 id=\"gereksistemlerdeuygulamarnekleri\"><strong>Ger\u00e7ek sistemlerde uygulama \u00f6rnekleri<\/strong><\/h4>\n<p>Bir \u00fcretim firmas\u0131n\u0131n bak\u0131m s\u00fcre\u00e7lerinde, sens\u00f6r verilerinden tahminsel bak\u0131m modelinin k\u0131sa s\u00fcreli test edilmesi tipik bir pov \u00f6rne\u011fidir. SAP BTP \u00fczerinde e\u011fitilen model, ger\u00e7ek zamanl\u0131 SAP PM verileriyle kar\u015f\u0131la\u015ft\u0131r\u0131larak \u00f6ng\u00f6r\u00fclerin do\u011frulu\u011fu kan\u0131tlan\u0131r.  <\/p>\n<hr \/>\n<h3 id=\"teknikaklamaderinseviye\"><strong>Teknik a\u00e7\u0131klama (derin seviye)<\/strong><\/h3>\n<p>sap ai pov, veri ak\u0131\u015f\u0131n\u0131n SAP BTP AI Core, SAP Data Intelligence ve uygulama katmanlar\u0131 aras\u0131nda senkronize \u00e7al\u0131\u015ft\u0131\u011f\u0131 bir mimariyi kullan\u0131r. Veri, SAP kaynak sistemlerinden Data Lake\u2019e ta\u015f\u0131n\u0131r, d\u00f6n\u00fc\u015f\u00fcm a\u015famas\u0131nda Feature Store\u2019a kaydedilir ve model e\u011fitimi burada ger\u00e7ekle\u015ftirilir.  <\/p>\n<p>Performans optimizasyonu i\u00e7in inference i\u015flemleri genellikle container tabanl\u0131 mikro servislerde y\u00fcr\u00fct\u00fcl\u00fcr. MLOps prensipleriyle y\u00f6netilen pipeline, model versiyonlamas\u0131 ve metrik takibini SAP AI Launchpad \u00fczerinden sa\u011flar. B\u00f6ylece hem teknik do\u011frulama hem de i\u015f de\u011feri \u00f6l\u00e7\u00fcm\u00fc ayn\u0131 ortamda yap\u0131labilir.  <\/p>\n<hr \/>\n<h3 id=\"letmeleriinnedenkritiktir\"><strong>\u0130\u015fletmeler i\u00e7in neden kritiktir<\/strong><\/h3>\n<ul>\n<li><strong>Performans:<\/strong> AI modellerinin SAP s\u00fcre\u00e7lerine entegrasyon \u00f6ncesi performans\u0131n\u0131 garantiler.  <\/li>\n<li><strong>G\u00fcvenilirlik:<\/strong> Denenmemi\u015f algoritmalar\u0131n \u00fcretim sistemlerine zarar vermesini \u00f6nler.  <\/li>\n<li><strong>Maliyet:<\/strong> Tam \u00f6l\u00e7ekli yat\u0131r\u0131m yerine minimum maliyetle de\u011fer do\u011frulamas\u0131 sa\u011flar.  <\/li>\n<li><strong>\u00d6l\u00e7ekleme:<\/strong> Ba\u015far\u0131l\u0131 sonu\u00e7lar h\u0131zl\u0131ca geni\u015fletilebilir.  <\/li>\n<li><strong>Otomasyon:<\/strong> S\u00fcre\u00e7 otomasyonunun etkisini \u00f6l\u00e7meye yard\u0131mc\u0131 olur.  <\/li>\n<li><strong>Karar alma:<\/strong> Y\u00f6netim seviyesinde delil bazl\u0131 karar mekanizmas\u0131 olu\u015fturur.  <\/li>\n<li><strong>Operasyonel verimlilik:<\/strong> POC yerine do\u011frudan de\u011fer odakl\u0131 test modelini uygular.  <\/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, SAP BTP \u00fczerinde geli\u015ftirdi\u011fi yapay zek\u00e2 mimarilerinde sap ai pov yakla\u015f\u0131m\u0131n\u0131 temel test faz\u0131 olarak konumland\u0131r\u0131r. \u00d6rne\u011fin, bir sat\u0131\u015f tahmin modeli geli\u015ftirildi\u011finde \u00f6nce s\u0131n\u0131rl\u0131 b\u00f6lgesel verilerle k\u0131sa \u00e7evrimli bir pov ger\u00e7ekle\u015ftirilir.  <\/p>\n<p>Bu a\u015famada modelin do\u011fruluk oran\u0131, veri entegrasyon h\u0131z\u0131 ve sistem tepkisi \u00f6l\u00e7\u00fcl\u00fcr. Ba\u015far\u0131l\u0131 sonu\u00e7 elde edilirse mimari, SAP BTP \u00fczerindeki otomasyon pipeline\u2019\u0131na dahil edilerek s\u00fcrekli \u00f6\u011frenen hale getirilir.  <\/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> Bir perakende firmas\u0131 stok fazlas\u0131 ve iade maliyetlerini azaltmak ister.  <\/li>\n<li><strong>Ba\u011flam:<\/strong> SAP S\/4HANA \u00fczerinde sat\u0131\u015f ve stok verisi mevcuttur.  <\/li>\n<li><strong>Kavram\u0131n uygulanmas\u0131:<\/strong> sap ai pov kapsam\u0131nda, talep tahmin modeli SAP BTP AI Core \u00fczerinde e\u011fitilir ve belirli \u00fcr\u00fcn kategorilerinde test edilir.  <\/li>\n<li><strong>Sonu\u00e7:<\/strong> Model %92 do\u011frulukla sat\u0131\u015f tahminleri \u00fcretir, gereksiz stok hareketleri %15 azal\u0131r.  <\/li>\n<li><strong>\u0130\u015f etkisi:<\/strong> Y\u00f6netim, AI value \u00e7\u0131kt\u0131s\u0131n\u0131 kan\u0131t olarak g\u00f6r\u00fcp projeyi \u00fcretim ortam\u0131na ta\u015f\u0131r.  <\/li>\n<\/ol>\n<hr \/>\n<h3 id=\"skyaplanhatalarveeniyiuygulamalar\"><strong>S\u0131k yap\u0131lan hatalar ve en iyi uygulamalar<\/strong><\/h3>\n<p><strong>S\u0131k yap\u0131lan hatalar:<\/strong>  <\/p>\n<ul>\n<li>POC ile POV kar\u0131\u015ft\u0131r\u0131lmas\u0131.  <\/li>\n<li>De\u011fer kriterlerinin net tan\u0131mlanmamas\u0131.  <\/li>\n<li>AI modelinin SAP veri modeliyle tutarl\u0131 olmamas\u0131.  <\/li>\n<\/ul>\n<p><strong>En iyi uygulamalar:<\/strong>  <\/p>\n<ul>\n<li>\u0130\u015f birimleriyle birlikte \u00f6l\u00e7\u00fclebilir hedefler tan\u0131mlamak.  <\/li>\n<li>MLOps pipeline yap\u0131s\u0131n\u0131 SAP BTP \u00fczerinde otomatikle\u015ftirmek.  <\/li>\n<li>De\u011fer do\u011frulamas\u0131n\u0131 yaln\u0131z teknik de\u011fil, operasyonel g\u00f6stergelerle yapmak.  <\/li>\n<\/ul>\n<hr \/>\n<h3 id=\"sonu\"><strong>Sonu\u00e7<\/strong><\/h3>\n<p>SAP AI Proof of Value, AI \u00e7\u00f6z\u00fcmlerinin teknik yeterlili\u011fini ve i\u015f de\u011ferini k\u0131sa s\u00fcrede test etmek i\u00e7in kritik bir yakla\u015f\u0131md\u0131r. sap ai pov uyguland\u0131\u011f\u0131nda, kurumlar AI value potansiyelini \u00f6l\u00e7erek hem risklerini d\u00fc\u015f\u00fcr\u00fcr hem de yat\u0131r\u0131m kararlar\u0131n\u0131 veriye dayal\u0131 hale getirir.  <\/p>\n<p>NeKuDos Teknoloji gibi kurumsal dan\u0131\u015fmanl\u0131k ekipleri, bu s\u00fcreci SAP BTP altyap\u0131s\u0131nda sistematik olarak uygulayarak uzun vadeli ve s\u00fcrd\u00fcr\u00fclebilir d\u00f6n\u00fc\u015f\u00fcm\u00fcn temelini olu\u015fturur.<\/p>","protected":false},"excerpt":{"rendered":"<p>SAP AI Proof of Value Giri\u015f SAP AI Proof of Value (sap ai pov), yapay zek\u00e2 projelerinde teknik potansiyelin ve i\u015f de\u011ferinin do\u011frulanmas\u0131 s\u00fcrecidir. SAP ekosisteminde, AI \u00e7\u00f6z\u00fcmleri sunmadan \u00f6nce ger\u00e7ek bir i\u015f etkisi yarat\u0131p yaratmayaca\u011f\u0131n\u0131 \u00f6l\u00e7mek i\u00e7in kullan\u0131l\u0131r. Bu model, AI value kavram\u0131n\u0131 somut hale getirerek yaln\u0131zca fikir a\u015famas\u0131nda kalan projelerin somut \u00e7\u0131kt\u0131lara d\u00f6n\u00fc\u015fmesini&hellip;<\/p>","protected":false},"author":2,"featured_media":30129,"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-30128","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 Proof of Value ile Yapay Zeka De\u011ferini Do\u011frulamak - 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-proof-of-value\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SAP AI Proof of Value ile Yapay Zeka De\u011ferini Do\u011frulamak - NeKuDos Teknoloji\" \/>\n<meta property=\"og:description\" content=\"SAP AI Proof of Value Giri\u015f SAP AI Proof of Value (sap ai pov), yapay zek\u00e2 projelerinde teknik potansiyelin ve i\u015f de\u011ferinin do\u011frulanmas\u0131 s\u00fcrecidir. SAP ekosisteminde, AI \u00e7\u00f6z\u00fcmleri sunmadan \u00f6nce ger\u00e7ek bir i\u015f etkisi yarat\u0131p yaratmayaca\u011f\u0131n\u0131 \u00f6l\u00e7mek i\u00e7in kullan\u0131l\u0131r. 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