{"id":15937,"date":"2023-06-09T13:26:24","date_gmt":"2023-06-09T10:26:24","guid":{"rendered":"https:\/\/paycore.com\/?p=15937"},"modified":"2023-06-09T13:41:09","modified_gmt":"2023-06-09T10:41:09","slug":"veri-analitigi-buyuk-veri-ve-yapay-zeka","status":"publish","type":"post","link":"https:\/\/paycore.com\/tr\/veri-analitigi-buyuk-veri-ve-yapay-zeka\/","title":{"rendered":"Veri Analiti\u011fi, B\u00fcy\u00fck Veri ve Yapay Zeka Nedir?"},"content":{"rendered":"

[vc_row kd_background_image_position=”vc_row-bg-position-top”][vc_column][vc_column_text]\u00c7a\u011flar \u015eahin.<\/span><\/em><\/span><\/p>\n

Veri Analiti\u011fi, B\u00fcy\u00fck Veri ve Yapay Zeka Nedir?<\/span><\/h3>\n

Veri analiti\u011finde verileri toplar, depolar, kategorize eder ve analiz s\u00fcre\u00e7lerini y\u00fcr\u00fcterek, i\u00e7g\u00f6r\u00fcler olu\u015ftururuz. Temel amac\u0131m\u0131z toplanan verileri analiz ederek s\u00fcre\u00e7leri daha iyi hale getirmektir.<\/p>\n

B\u00fcy\u00fck veri, daha fazla \u00e7e\u015fitlilik i\u00e7eren hacmi h\u0131zl\u0131ca artan verilerdir. Bu durum b\u00fcy\u00fck veri hacim, h\u0131z ve \u00e7e\u015fitlili\u011fi olarak ifade edilir. G\u00fcn\u00fcm\u00fczde finansal i\u015flemler, \u00f6deme i\u015flemleri, GSM operat\u00f6r i\u015flemleri, IoT cihazlar\u0131n\u0131n toplad\u0131\u011f\u0131 veriler, blog, mikrobloglar, iklim alg\u0131lay\u0131c\u0131lar, di\u011fer sens\u00f6rler, loglar vb. kaynaklar, b\u00fcy\u00fck veri i\u00e7in veri kayna\u011f\u0131 olu\u015fturmaktad\u0131r.<\/p>\n

\u0130dealize edilmi\u015f bir yakla\u015f\u0131ma g\u00f6re yapay zek\u00e2; insan zek\u00e2s\u0131na \u00f6zg\u00fc olan,\u00a0alg\u0131lama, \u00f6\u011frenme, \u00e7o\u011ful kavramlar\u0131 ba\u011flama, d\u00fc\u015f\u00fcnme, fikir y\u00fcr\u00fctme (belirtme) , sorun \u00e7\u00f6zme,\u00a0ileti\u015fim\u00a0kurma, \u00e7\u0131kar\u0131m yapma ve karar verme\u00a0gibi y\u00fcksek bili\u015fsel\u00a0fonksiyonlar\u0131\u00a0veya\u00a0otonom\u00a0davran\u0131\u015flar\u0131 sergilemesi beklenen yapay bir i\u015fletim sistemidir. Bu sistem ayn\u0131 zamanda d\u00fc\u015f\u00fcncelerinden tepkiler \u00fcretebilmeli (eyleyici yapay zek\u00e2) ve bu tepkileri fiziksel olarak d\u0131\u015fa vurabilmelidir.<\/p>\n

\u00d6deme sistemlerinde her g\u00fcn olu\u015fan hacmi y\u00fcksek ve \u00e7e\u015fitli veriler, kullan\u0131m ve \u00f6deme al\u0131\u015fkanl\u0131klar\u0131n\u0131n ara\u015ft\u0131r\u0131lmas\u0131, veri saklamada yeni y\u00f6ntem ara\u015ft\u0131rmalar\u0131 gibi alternatif y\u00f6ntem aray\u0131\u015flar\u0131na bizleri y\u00f6nlendirmektedir.<\/p>\n

Yapay Zeka, B\u00fcy\u00fck Veri ve Veri Analiti\u011finin Faydalar\u0131<\/strong><\/span><\/p>\n

B\u00fcy\u00fck veri, tamamen ger\u00e7ek verilerin analizine dayand\u0131\u011f\u0131 i\u00e7in\u00a0maliyetleri d\u00fc\u015f\u00fcrme ve verimlili\u011fin artmas\u0131nda, hedeflerine k\u0131sa s\u00fcrede ula\u015fabilme, i\u015f g\u00fcc\u00fcnden tasarruf sa\u011flama ve beklentilere uygun \u00fcr\u00fcn geli\u015ftirme\u00a0gibi bir\u00e7ok farkl\u0131 alanda do\u011fru kararlar al\u0131nmas\u0131na olanak tan\u0131maktad\u0131r.<\/p>\n

AI, verilerin i\u015flenmesini otomatikle\u015ftirmek i\u00e7in algoritmalar kullan\u0131rken, b\u00fcy\u00fck veri b\u00fcy\u00fck miktarda bilgiyi depolamak ve d\u00fczenlemek i\u00e7in kullan\u0131l\u0131r. Bu ikisini birle\u015ftiren yapay zekaya ise verilerden insan g\u00f6z\u00fcyle g\u00f6r\u00fclemeyecek kal\u0131plar\u0131 ve i\u00e7g\u00f6r\u00fcleri ortaya \u00e7\u0131karmak i\u00e7in ihtiya\u00e7 duyulur. AI, karar verme s\u00fcrecini iyile\u015ftirmek ve s\u00fcre\u00e7leri otomatikle\u015ftirmek i\u00e7in kullan\u0131labilir, b\u00f6ylece daha h\u0131zl\u0131 ve daha etkili sonu\u00e7lar elde edilebilir.<\/p>\n

Yapay Zeka, B\u00fcy\u00fck Veri ve Veri Analiti\u011finin \u00d6deme Sistemlerinde Kullan\u0131m\u0131<\/strong><\/span><\/p>\n

\u00d6deme sistemlerinde kullan\u0131lan uygulamalar\u0131n \u00fcretti\u011fi veri ve gateway\u2019lerin verileri \u00fczerinden olu\u015fan b\u00fcy\u00fck veri \u00fczerinden i\u00e7g\u00f6r\u00fcler olu\u015fturularak raporlamas\u0131 sa\u011flan\u0131r. verilerin raporlanmas\u0131nda i\u015f zekas\u0131 uygulamalar\u0131n\u0131n kullan\u0131m\u0131 ile IT ekibinin d\u0131\u015f\u0131ndaki kullan\u0131c\u0131lar i\u00e7in de kendi raporlar\u0131n\u0131 olu\u015fturabilme f\u0131rsatlar\u0131 olur. Y\u00f6netim kokpitleri olu\u015fturulabilir b\u00f6ylece \u00fcst y\u00f6netime ba\u011flama uygun, \u015firketin rekabet g\u00fcc\u00fcn\u00fc art\u0131racak i\u00e7g\u00f6r\u00fcler sunulabilir. Bu sistemleri besleyen verilerin, merkezi veri ambarlar\u0131nda depolanmas\u0131 ile entegrasyonlardan operasyonel uygulamalar\u0131n \u00fczerindeki y\u00fck hafifletilir, h\u0131zl\u0131 ve tutarl\u0131 veriye son kullan\u0131c\u0131n\u0131n ve y\u00f6netimin eri\u015fimi sa\u011flan\u0131r. Veri ambar\u0131 yap\u0131lar\u0131 sayesinde, uygulamalarda ihtiya\u00e7 do\u011frultusunda belirli s\u00fcre durmas\u0131 planlanan verileri daha d\u00fc\u015f\u00fck maliyetler ile saklayabilmekteyiz.<\/p>\n

\u00d6deme sistemlerindeki yo\u011fun i\u015flemlerin ve loglar\u0131n verisi yard\u0131m\u0131yla olu\u015fan b\u00fcy\u00fck veri yap\u0131lar\u0131n\u0131, \u00e7e\u015fitli algoritmalar yard\u0131m\u0131yla doland\u0131r\u0131c\u0131l\u0131k riskini azaltmak, m\u00fc\u015fteri memnuniyetini art\u0131rmak, maliyet tasarrufu sa\u011flamak, gelecekteki \u00f6deme trendlerinin tahminlemesini yapabilmek, \u00f6deme y\u00f6ntemlerinde ki\u015fiselle\u015fme ve m\u00fc\u015fterilerimize rekabet avantaj\u0131 sa\u011flamak amac\u0131yla kullanabiliriz.<\/p>\n

\u00d6deme sistemlerinde, Yapay Zeka uygulamalar\u0131 ile a\u015fa\u011f\u0131daki faydalar sa\u011flanabilmektedir.<\/p>\n

M\u00fc\u015fteri deneyimi<\/strong><\/span><\/p>\n

M\u00fc\u015fteriler i\u00e7in rekabet devam ediyor. Art\u0131k m\u00fc\u015fteri deneyimine y\u00f6nelik genel bak\u0131\u015f hi\u00e7 olmad\u0131\u011f\u0131 kadar net. B\u00fcy\u00fck veri, etkile\u015fim deneyimini geli\u015ftirmek ve sunulan de\u011feri en \u00fcst d\u00fczeye \u00e7\u0131karmak i\u00e7in sosyal medya, web ziyaretleri, \u00e7a\u011fr\u0131 g\u00fcnl\u00fckleri ve di\u011fer kaynaklardan veri toplaman\u0131za olanak tan\u0131r. Ki\u015fiselle\u015ftirilmi\u015f teklifler sunmaya ba\u015flay\u0131n, m\u00fc\u015fteri kayb\u0131n\u0131 azalt\u0131n ve sorunlar\u0131 proaktif olarak ele al\u0131n.<\/p>\n

Doland\u0131r\u0131c\u0131l\u0131k ve uyumluluk<\/strong><\/span><\/p>\n

G\u00fcvenlik s\u00f6z konusu oldu\u011funda, sadece birka\u00e7 doland\u0131r\u0131c\u0131yla de\u011fil, b\u00fct\u00fcn uzman ekiplerle kar\u015f\u0131 kar\u015f\u0131yas\u0131n\u0131z. G\u00fcvenlik altyap\u0131lar\u0131 ve uyumluluk gereksinimleri s\u00fcrekli de\u011fi\u015fiyor. B\u00fcy\u00fck veri, d\u00fczenleyici raporlamay\u0131 \u00e7ok daha h\u0131zl\u0131 hale getirmek i\u00e7in b\u00fcy\u00fck hacimli bilgileri birle\u015ftiren ve sahtecili\u011fi g\u00f6steren veri \u00f6r\u00fcnt\u00fclerini belirlemenize yard\u0131mc\u0131 olur.<\/p>\n

Makine \u00f6\u011frenimi <\/strong><\/span><\/p>\n

Makine \u00f6\u011frenimi \u015fu anda bir g\u00fcndem konusu. Ve veri, \u00f6zellikle b\u00fcy\u00fck veri, makine \u00f6\u011frenimini g\u00fcndeme ta\u015f\u0131yan nedenlerden biri. Art\u0131k makineleri programlamak yerine e\u011fitebiliyoruz. B\u00fcy\u00fck veri kullan\u0131m\u0131, makine \u00f6\u011frenimi modellerini e\u011fitmeyi m\u00fcmk\u00fcn k\u0131l\u0131yor.<\/p>\n

Operasyonel verimlilik<\/strong><\/span><\/p>\n

Operasyonel verimlilik her zaman g\u00fcndemde olmasa da b\u00fcy\u00fck verinin en b\u00fcy\u00fck etkiyi yaratt\u0131\u011f\u0131 aland\u0131r. B\u00fcy\u00fck veri ile kesintileri azaltmak ve gelecekteki talepleri tahmin etmek i\u00e7in \u00fcretimi, m\u00fc\u015fteri geri bildirimlerini, iadeleri ve di\u011fer fakt\u00f6rleri analiz edebilir ve de\u011ferlendirebilirsiniz. B\u00fcy\u00fck veri, mevcut piyasa talebi do\u011frultusunda karar vermeyi geli\u015ftirmek i\u00e7in de kullan\u0131labilir.<\/p>\n

\u0130novasyona y\u00f6n verin<\/strong><\/span><\/p>\n

B\u00fcy\u00fck veri; insanlar, kurumlar, t\u00fczel ki\u015filikler ve s\u00fcre\u00e7ler aras\u0131ndaki ba\u011f\u0131ml\u0131l\u0131klar\u0131 \u00f6\u011frenerek ve ard\u0131ndan bu i\u00e7g\u00f6r\u00fcleri kullanman\u0131n yeni yollar\u0131n\u0131 belirleyerek yenilikler yapman\u0131za yard\u0131mc\u0131 olabilir. Finansal ve planlama konular\u0131na ili\u015fkin al\u0131nan kararlar\u0131 geli\u015ftirmek i\u00e7in veri i\u00e7g\u00f6r\u00fclerini kullan\u0131n. E\u011filimleri ve m\u00fc\u015fteri beklentilerini inceleyerek yeni \u00fcr\u00fcnler ve hizmetler sunun. Dinamik fiyatland\u0131rma uygulay\u0131n. Sonsuz olas\u0131l\u0131\u011fa sahipsiniz.[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row kd_background_image_position=”vc_row-bg-position-top”][vc_column][vc_column_text]\u00c7a\u011flar \u015eahin. Veri Analiti\u011fi, B\u00fcy\u00fck Veri ve Yapay Zeka Nedir? Veri analiti\u011finde verileri toplar, depolar, kategorize eder ve analiz […]<\/p>\n","protected":false},"author":1,"featured_media":15933,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[48],"tags":[],"yoast_head":"\nVeri Analiti\u011fi, B\u00fcy\u00fck Veri ve Yapay Zeka Nedir? - PayCore<\/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:\/\/paycore.com\/tr\/veri-analitigi-buyuk-veri-ve-yapay-zeka\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Veri Analiti\u011fi, B\u00fcy\u00fck Veri ve Yapay Zeka Nedir? - PayCore\" \/>\n<meta property=\"og:description\" content=\"[vc_row kd_background_image_position=”vc_row-bg-position-top”][vc_column][vc_column_text]\u00c7a\u011flar \u015eahin. 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