{"id":152284,"date":"2026-06-02T08:55:00","date_gmt":"2026-06-02T08:55:00","guid":{"rendered":"https:\/\/barc.com\/?post_type=news&p=152284"},"modified":"2026-06-02T05:02:58","modified_gmt":"2026-06-02T05:02:58","slug":"ki-unstrukturierte-daten","status":"publish","type":"news","link":"https:\/\/barc.com\/de\/news\/ki-unstrukturierte-daten\/","title":{"rendered":"KI-Ambitionen treffen auf Datenrealit\u00e4t: BARC-Studie zu unstrukturierten Daten"},"content":{"rendered":"\n

BARC hat die neue globale Studie Harnessing Unstructured Data for AI Innovation: Problems, Practices, and Principles for Success<\/em><\/a> ver\u00f6ffentlicht. Sie basiert auf rund 220 Antworten weltweit und untersucht, wie weit Unternehmen bei der Erschlie\u00dfung, Governance und Operationalisierung der unstrukturierten Daten sind, die KI-Modellen und Agenten ihren Kontext geben.<\/p>\n\n\n\n

Die Studie zeigt eine klare L\u00fccke zwischen Anspruch und Realit\u00e4t. Nur 29 Prozent der Befragten wissen vollst\u00e4ndig, wo ihre KI-relevanten unstrukturierten Daten liegen, und 70 Prozent geben an, dass weniger als die H\u00e4lfte davon f\u00fcr Analytics oder KI auffindbar und nutzbar ist. Gleichzeitig sind 79 Prozent zuversichtlich, Wert aus unstrukturierten Daten ziehen zu k\u00f6nnen, ohne dabei Governance-Kontrollen zu verletzen. Rund ein Drittel berichtet jedoch von Defiziten bei Datenbias und Data Lineage, und 35 Prozent k\u00f6nnen nicht nachvollziehen, wie unstrukturierte Daten system\u00fcbergreifend genutzt werden.<\/p>\n\n\n\n

\u201eUnstrukturierte Daten tragen den Kontext, den KI-Agenten brauchen, um zuverl\u00e4ssig zu handeln. Doch die meisten Unternehmen k\u00f6nnen nicht sagen, wo diese Daten liegen oder wie sie genutzt werden. Eine Skalierung von KI im Jahr 2026 wird ohne plattformunabh\u00e4ngigen Semantic Layer und ohne deutlich sch\u00e4rfere Governance-Praxis nicht funktionieren“, sagt Kevin Petrie<\/strong>, VP of Research bei BARC US und Hauptautor der Studie.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Studie abrufen<\/h2>\n\n\n\n

Harnessing Unstructured Data for AI Innovation: Problems, Practices, and Principles for Success<\/em> steht unter barc.com\/research\/harnessing-unstructured-data-for-ai-innovation<\/a> zum Download bereit.<\/p>\n","protected":false},"featured_media":131891,"template":"","meta":{"_acf_changed":true,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"categories":[48],"class_list":["post-152284","news","type-news","status-publish","has-post-thumbnail","hentry","category-datenmanagement"],"acf":[],"_links":{"self":[{"href":"https:\/\/barc.com\/de\/wp-json\/wp\/v2\/news\/152284","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/barc.com\/de\/wp-json\/wp\/v2\/news"}],"about":[{"href":"https:\/\/barc.com\/de\/wp-json\/wp\/v2\/types\/news"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/barc.com\/de\/wp-json\/wp\/v2\/media\/131891"}],"wp:attachment":[{"href":"https:\/\/barc.com\/de\/wp-json\/wp\/v2\/media?parent=152284"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/barc.com\/de\/wp-json\/wp\/v2\/categories?post=152284"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}