{"id":1400,"date":"2021-04-21T13:55:56","date_gmt":"2021-04-21T13:55:56","guid":{"rendered":"https:\/\/www.zincirmagazalar.org\/?p=1400"},"modified":"2021-04-21T13:57:23","modified_gmt":"2021-04-21T13:57:23","slug":"sirketler-yapay-zekada-adim-adim-ilerliyor","status":"publish","type":"post","link":"https:\/\/www.zincirmagazalar.org\/?p=1400","title":{"rendered":"\u015eirketler Yapay Zekada Ad\u0131m Ad\u0131m \u0130lerliyor"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"1400\" class=\"elementor elementor-1400\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-37e494d6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"37e494d6\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3f48a51d\" data-id=\"3f48a51d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-48cd9dbb elementor-widget elementor-widget-text-editor\" data-id=\"48cd9dbb\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"td-paragraph-padding-1\"><p class=\"p1\"><b>KPMG, pandemi sonras\u0131 yeni ger\u00e7ekli\u011fin en \u00f6nemli oyuncular\u0131ndan olan yapay zekan\u0131n i\u015f d\u00fcnyas\u0131ndaki uygulamalar\u0131n\u0131 inceledi. KPMG\u2019nin \u2018Yapay Zeka D\u00fcnyas\u0131nda Ya\u015famak\u2019 adl\u0131 yapay zeka (YZ) geli\u015fim raporu, ABD\u2019deki be\u015f sekt\u00f6rde \u00f6rnek uygulamalara bakarak \u015firketlerin bu konudaki zorluklar\u0131n\u0131 analiz ediyor. Rapora g\u00f6re yapay zeka uyguland\u0131\u011f\u0131 sekt\u00f6rlerde fark yarat\u0131yor. \u015eirketler yapay zeka eti\u011fi ve veri okur yazarl\u0131\u011f\u0131 konular\u0131nda \u00e7\u00f6z\u00fcmlere yo\u011fun mesai harc\u0131yor.<\/b><\/p><\/div><div class=\"td-paragraph-padding-1\"><p>KPMG \u2018Yapay Zeka D\u00fcnyas\u0131nda Ya\u015famak\u2019 ba\u015fl\u0131kl\u0131 ara\u015ft\u0131rmada ABD\u2019deki sa\u011fl\u0131k hizmetleri, finansal hizmetler, ula\u015f\u0131m, teknoloji ve perakende sekt\u00f6rlerindeki yapay zeka uygulamalar\u0131n\u0131 inceledi. Farkl\u0131 \u015firketlerden 751 kat\u0131l\u0131mc\u0131yla yap\u0131lan ara\u015ft\u0131rmada bu sekt\u00f6rlerin YZ s\u00fcre\u00e7leriyle ilgili sorulara yan\u0131t arand\u0131. Ara\u015ft\u0131rma, uygulamada yapay zeka ile ilgili ortaya \u00e7\u0131kan sorunlara, alg\u0131lanan risklere ve zorluklara \u0131\u015f\u0131k tutuyor. Yapay zekan\u0131n i\u015f s\u00fcre\u00e7lerine entegre edilmesinde zorluklar olsa da cesaret verici bir etkile\u015fim derinli\u011fi g\u00f6ze \u00e7arp\u0131yor. Rapor, yapay zekan\u0131n uyguland\u0131\u011f\u0131 sekt\u00f6rlerde ger\u00e7ek bir etki yaratmaya ba\u015flad\u0131\u011f\u0131n\u0131 g\u00f6steriyor. Farkl\u0131 end\u00fcstrilerden kat\u0131l\u0131mc\u0131lar yapay zekan\u0131n i\u015f yapma \u015feklini sa\u011fl\u0131k alan\u0131nda t\u0131bbi bak\u0131ma eri\u015fimi iyile\u015ftirmekten, perakende sat\u0131\u015fta m\u00fc\u015fteri hizmetleri sorunlar\u0131n\u0131 azaltmaya kadar de\u011fi\u015ftirdi\u011fini s\u00f6yl\u00fcyor. Zorluklar konusunda ise hayli ortak nokta var. Kat\u0131l\u0131mc\u0131lar\u0131n y\u00fczde 46&#8217;s\u0131na g\u00f6re zorluklar listesinin ba\u015f\u0131nda teknoloji yeteneklerini anlama eksikli\u011fi geliyor. Bunu y\u00fczde 36 ile e\u011fitim eksikli\u011fi ve y\u00fczde 32 ile yat\u0131r\u0131m finansman\u0131 yetersizli\u011fi izliyor.<br \/>Ara\u015ft\u0131rmay\u0131 de\u011ferlendiren KPMG T\u00fcrkiye Teknoloji Sekt\u00f6r Lideri G\u00f6khan Matarac\u0131, yapay zeka s\u00fcre\u00e7lerinde ilerleyen \u015firketlerin odakland\u0131\u011f\u0131 iki konuya dikkat \u00e7ekti. Ara\u015ft\u0131rmaya kat\u0131lan her 10 ki\u015fiden 9\u2019unun i\u015f s\u00fcre\u00e7lerinde karar verecek yapay zekaya yard\u0131mc\u0131 olmak i\u00e7in her \u015firketin bir yapay zeka y\u00f6netim politikas\u0131 uygulamas\u0131 gerekti\u011fi g\u00f6r\u00fc\u015f\u00fcnde oldu\u011funa de\u011finen Matarac\u0131, \u201cYapay zekan\u0131n sa\u011flam bir temele dayanmas\u0131 gerekiyor. Ara\u015ft\u0131rmada yer alan \u015firketlerin y\u00fczde 44\u2019\u00fc zaten etik bir kod uygulad\u0131\u011f\u0131n\u0131, geri kalanlar\u0131n \u00fc\u00e7te biri de konu \u00fczerinde \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 s\u00f6yl\u00fcyor. \u0130\u015fletmelerin organizasyonu ve i\u015f g\u00fcc\u00fc de\u011fi\u015fimini y\u00f6netmeye paralel olarak yapay zekay\u0131 sorumlu bir \u015fekilde olu\u015fturmak ve y\u00f6netmek gibi bir g\u00f6revi daha var. \u015eirketler algoritmalar\u0131n tasar\u0131m\u0131n\u0131n kurumsal de\u011ferler, kalite ve g\u00fcvenlik standartlar\u0131yla uyumlu olmas\u0131 i\u00e7in \u00e7al\u0131\u015f\u0131yor. Neticede algoritmalar, i\u015fle ilgili karar vermede giderek daha \u00f6nemli bir rol oynuyor, bu nedenle insanlar\u0131n bu kararlara g\u00fcvenmesi \u00e7ok \u00f6nemli. Bunu yapmak i\u00e7in, uygun kontroller ve y\u00f6neti\u015fim yoluyla YZ modellerinin b\u00fct\u00fcnl\u00fc\u011f\u00fcn\u00fc, adaletini, a\u00e7\u0131klanabilirli\u011fini ve dayan\u0131kl\u0131l\u0131\u011f\u0131n\u0131 sa\u011flamak gerekiyor\u201d dedi.<br \/>Ara\u015ft\u0131rman\u0131n veri okur yazarl\u0131\u011f\u0131n\u0131 geli\u015ftirme gereklili\u011fini g\u00fc\u00e7l\u00fc bi\u00e7imde i\u015faret etti\u011fini vurgulayan G\u00f6khan Matarac\u0131, \u015f\u00f6yle konu\u015ftu:<br \/>\u201cVeri okuryazarl\u0131\u011f\u0131 \u00f6nce bir veri k\u00fclt\u00fcr\u00fc olu\u015fturmakla ilgili. \u00c7al\u0131\u015fanlar\u0131n i\u015f sorunlar\u0131n\u0131 \u00e7\u00f6zmek i\u00e7in veri analizine y\u00f6neldi\u011fi bir zihniyetten s\u00f6z ediyoruz. \u015eirketler \u00e7al\u0131\u015fanlar\u0131n bunu yapmalar\u0131na yard\u0131mc\u0131 olmak i\u00e7in giderek daha fazla veri bilimcisi i\u015fe al\u0131yor. Bu veri bilimcilerin \u00e7al\u0131\u015fan pop\u00fclasyonuna ne kadar iyi entegre olduklar\u0131, veri okuryazar\u0131 bir i\u015fg\u00fcc\u00fcne ula\u015fmada fark yaratabilir. Yapay zekan\u0131n \u015firketlere sa\u011flam bir \u015fekilde yerle\u015fmesi i\u00e7in en \u00f6nemlisi ekiplerin YZ okuryazarl\u0131\u011f\u0131n\u0131 geli\u015ftirmek. Burada ama\u00e7 t\u00fcm kaynaklar\u0131 veri bilimcilere y\u00f6nlendirmek de\u011fil daha \u00e7ok ekiplerin yapay zekan\u0131n organizasyon i\u00e7inde oynad\u0131\u011f\u0131 rol\u00fc anlamalar\u0131na ve i\u015fler \u00fczerindeki etkisine uyum sa\u011flamalar\u0131na yard\u0131mc\u0131 olmakt\u0131r. G\u00f6revleri, rollerinin bir par\u00e7as\u0131 haline gelen yapay zeka odakl\u0131 anlay\u0131\u015flara ve s\u00fcre\u00e7lere hem meydan okumak hem de g\u00fcvenmek i\u00e7in onlar\u0131 do\u011fru ara\u00e7lar ve bilgilerle haz\u0131rlamakt\u0131r. Bu ayn\u0131 zamanda temelde bir de\u011fi\u015fim y\u00f6netimi uygulamas\u0131d\u0131r.\u201d<\/p><p><strong>Ara\u015ft\u0131rmadan dikkat \u00e7eken baz\u0131 ba\u015fl\u0131klar \u015f\u00f6yle:<\/strong><br \/>Be\u015f sekt\u00f6rden kat\u0131l\u0131mc\u0131lar, yapay zeka uygulamalar\u0131 i\u00e7erisinde en \u00e7ok makine \u00f6\u011frenimi (y\u00fczde 48) ve robotik s\u00fcre\u00e7 otomasyonunun (y\u00fczde 41) etkilerinin \u00f6ne \u00e7\u0131kt\u0131\u011f\u0131n\u0131 d\u00fc\u015f\u00fcn\u00fcyor. Yapay zekan\u0131n faaliyetlerini ve m\u00fc\u015fteri ileti\u015fimlerini nas\u0131l etkiledi\u011fi soruldu\u011funda, sa\u011fl\u0131k sekt\u00f6r\u00fcndeki kat\u0131l\u0131mc\u0131lar\u0131n y\u00fczde 89\u2019u verimlili\u011fin art\u0131\u011f\u0131n\u0131 belirtti. Ayn\u0131 zamanda sa\u011fl\u0131k sekt\u00f6r\u00fc kat\u0131l\u0131mc\u0131lar\u0131n\u0131n y\u00fczde 91\u2019i hastalar\u0131n sa\u011fl\u0131k hizmetlerine eri\u015fiminin artt\u0131\u011f\u0131n\u0131 d\u00fc\u015f\u00fcn\u00fcyor. Perakende sekt\u00f6r\u00fcnden kat\u0131lanlar\u0131n y\u00fczde 80\u2019i m\u00fc\u015fteri hizmetlerine ili\u015fkin sorunlar\u0131n yapay zeka sayesinde hafifledi\u011fini bildirdi.<br \/>Finansal hizmetler sekt\u00f6r\u00fcndeki kat\u0131l\u0131mc\u0131lar\u0131n y\u00fczde 85\u2019i yapay zekan\u0131n suistimal vakalar\u0131n\u0131 tespit edebilece\u011finden emin. Sa\u011fl\u0131k sekt\u00f6r\u00fc kat\u0131l\u0131mc\u0131lar\u0131n\u0131n y\u00fczde 68\u2019i yapay zekan\u0131n hastal\u0131klara tan\u0131 koyabilece\u011fini d\u00fc\u015f\u00fcn\u00fcyor. Ta\u015f\u0131mac\u0131l\u0131k sekt\u00f6r\u00fcnde, kat\u0131l\u0131mc\u0131lar\u0131n y\u00fczde 82\u2019si \u00f6n\u00fcm\u00fczdeki on y\u0131l i\u00e7erisinde otonom ara\u00e7lar\u0131n hayata ge\u00e7mesini bekliyor. Y\u00fczde 35\u2019lik bir kesime g\u00f6re ise, otonom ara\u00e7lar \u00f6n\u00fcm\u00fczdeki be\u015f y\u0131l i\u00e7erisinde hayat\u0131m\u0131za girebilir.<\/p><p><strong>Yapay Zeka Uygulamalar\u0131nda Son Durum<\/strong><br \/>Teknoloji sekt\u00f6r\u00fcnden ara\u015ft\u0131rmaya kat\u0131lanlar\u0131n y\u00fczde 63\u2019\u00fc \u015firketlerinde yapay zeka uygulamalar\u0131n\u0131n kullan\u0131m a\u015famas\u0131nda oldu\u011funu belirtti. Sa\u011fl\u0131k sekt\u00f6r\u00fcnde ise bu oran y\u00fczde 37 olarak kaydedildi. Spektrumun orta k\u0131sm\u0131nda ise y\u00fczde 55 ile ta\u015f\u0131mac\u0131l\u0131k, y\u00fczde 52 ile perakende ve y\u00fczde 47 ile finansal hizmetler yer ald\u0131. Kat\u0131l\u0131mc\u0131lar\u0131n \u00e7o\u011fu \u015firketlerinin yapay zeka uygulamalara ge\u00e7i\u015f h\u0131z\u0131ndan memnun olsa da, uygulamalar\u0131n faaliyetlerinde daha geni\u015f yer bulmas\u0131n\u0131 bekliyor.<\/p><p><strong>Sekt\u00f6rlere G\u00f6re Engeller<\/strong><br \/>Sekt\u00f6rlerin yapay zeka uygulamalar\u0131n\u0131n devreye al\u0131nmas\u0131nda neden daha h\u0131zl\u0131 hareket etmedi\u011fi soruldu\u011funda, ki\u015fisel verilere y\u00f6nelik d\u00fczenlemeler kar\u015f\u0131m\u0131za \u00e7\u0131k\u0131yor. Bu \u00f6zellikle sa\u011fl\u0131k sekt\u00f6r\u00fcnde daha net bir \u015fekilde g\u00f6zleniyor. Sa\u011fl\u0131k sekt\u00f6r\u00fcnde hastalar\u0131n hassas nitelikteki ki\u015fisel verilerinin korunmas\u0131 i\u00e7in gerek fiziksel gerekse de a\u011f ile ilgili bir tak\u0131m g\u00fcvenlik \u00f6nemleri s\u00f6z konusu. Finansal hizmetler sekt\u00f6r\u00fcnde de Bunu g\u00f6z \u00f6n\u00fcnde bulunduran \u015firketler verileri, yapay zeka uygulamalar\u0131n\u0131n gereksinimi olan bulut uygulamalar\u0131na y\u00fcklemekten ka\u00e7\u0131n\u0131yordu. Yasal d\u00fczenlemelere uygun olarak geli\u015ftirilen g\u00fcvenilir bulut uygulamalar\u0131yla birlikte bu \u00f6nyarg\u0131 k\u0131r\u0131lmaya ba\u015flad\u0131.<br \/>Perakende sekt\u00f6r\u00fcnde ise daha farkl\u0131 bir durum s\u00f6z konusu. Perakendeciler, di\u011fer sekt\u00f6rlerdeki \u015firketlere g\u00f6re yapay zeka uygulamalar\u0131na daha h\u0131zl\u0131 bir giri\u015f yapt\u0131. \u0130lk kullan\u0131mlar daha \u00e7ok m\u00fc\u015fteri segmentasyonu gibi pazarlamayla ilgili fonksiyonlarda g\u00f6zlendi. Bu uygulamalar\u0131 orta ve arka ofislerde hayata ge\u00e7iren \u015firketler \u015fimdilerde \u00f6zellikle maliyet tasarrufu konusunda daha yeni yeni fayda sa\u011flamaya ba\u015flad\u0131.<br \/>Bu a\u015famada \u015firketlerin, \u00e7al\u0131\u015fanlar\u0131na veri okur yazarl\u0131\u011f\u0131 kazand\u0131rmas\u0131 \u00f6nem ta\u015f\u0131yor. Veri okuryazarl\u0131\u011f\u0131n\u0131 \u00e7ift tarafl\u0131 olarak d\u00fc\u015f\u00fcnebiliriz. Veri bilimcileri teknoloji konusunda uzmanl\u0131k sahibi, ancak \u00e7al\u0131\u015fanlar uygulamalar\u0131 i\u015fletme ihtiya\u00e7lar\u0131n\u0131 baz alarak g\u00f6zden ge\u00e7irebiliyor.<br \/>\u00c7al\u0131\u015fanlar\u0131n yapay zeka konusundaki endi\u015felerine bak\u0131ld\u0131\u011f\u0131nda, her 5 \u00e7al\u0131\u015fandan 2\u2019si i\u015f kayb\u0131ndan endi\u015fe duyuyor. Y\u00fczde 70\u2019lik bir kesim de yapay zekan\u0131n veri g\u00fcvenli\u011fi kar\u015f\u0131s\u0131nda bir tehdit olu\u015fturabilece\u011fini d\u00fc\u015f\u00fcn\u00fcyor. \u00c7al\u0131\u015fanlar\u0131n y\u00fczde 90\u2019\u0131na g\u00f6re, \u015firketlerin yapay zeka konusunda belirli etik ilkeleri uygulamaya koymas\u0131 gerekiyor.<br \/>\u015eirketler dijitalle\u015fme alan\u0131nda artan beklentileri kar\u015f\u0131lamak i\u00e7in yapay zeka teknolojilerine y\u00f6nelik Ar-Ge yat\u0131r\u0131mlar\u0131n\u0131 art\u0131rmay\u0131 d\u00fc\u015f\u00fcnebilir. Ayn\u0131 zamanda \u00e7al\u0131\u015fanlar\u0131na veri okuryazarl\u0131\u011f\u0131 kazand\u0131rarak, veri odakl\u0131 bir kurum k\u00fclt\u00fcr\u00fc olu\u015fturmas\u0131 destek sa\u011flayabilir. Algoritmalar, \u015firketlerin karar verme s\u00fcre\u00e7lerinde etkin bir rol almaya ba\u015flad\u0131 Buna g\u00f6re, gizlilik ve g\u00fcvenlik sorunlar\u0131n\u0131n de\u011ferlendirilmesi ve gerekli tedbirlerin al\u0131nmas\u0131 \u00f6nem ta\u015f\u0131yor.<\/p><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>KPMG, pandemi sonras\u0131 yeni ger\u00e7ekli\u011fin en \u00f6nemli oyuncular\u0131ndan olan yapay zekan\u0131n i\u015f d\u00fcnyas\u0131ndaki uygulamalar\u0131n\u0131 inceledi. KPMG\u2019nin \u2018Yapay Zeka D\u00fcnyas\u0131nda Ya\u015famak\u2019 adl\u0131 yapay zeka (YZ) geli\u015fim raporu, ABD\u2019deki be\u015f sekt\u00f6rde \u00f6rnek uygulamalara bakarak \u015firketlerin bu konudaki zorluklar\u0131n\u0131 analiz ediyor. Rapora g\u00f6re yapay zeka uyguland\u0131\u011f\u0131 sekt\u00f6rlerde fark yarat\u0131yor. \u015eirketler yapay zeka eti\u011fi ve veri okur yazarl\u0131\u011f\u0131 konular\u0131nda [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1394,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"class_list":{"0":"post-1400","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-haberler"},"_links":{"self":[{"href":"https:\/\/www.zincirmagazalar.org\/index.php?rest_route=\/wp\/v2\/posts\/1400","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.zincirmagazalar.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.zincirmagazalar.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.zincirmagazalar.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.zincirmagazalar.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1400"}],"version-history":[{"count":4,"href":"https:\/\/www.zincirmagazalar.org\/index.php?rest_route=\/wp\/v2\/posts\/1400\/revisions"}],"predecessor-version":[{"id":1404,"href":"https:\/\/www.zincirmagazalar.org\/index.php?rest_route=\/wp\/v2\/posts\/1400\/revisions\/1404"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.zincirmagazalar.org\/index.php?rest_route=\/wp\/v2\/media\/1394"}],"wp:attachment":[{"href":"https:\/\/www.zincirmagazalar.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1400"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.zincirmagazalar.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1400"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.zincirmagazalar.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1400"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}