{"id":47534,"date":"2024-03-21T13:50:54","date_gmt":"2024-03-21T12:50:54","guid":{"rendered":"https:\/\/www.searchit-enterprise-search.com\/unkategorisiert\/ai-and-image-search-a-duo-for-the-future\/"},"modified":"2025-10-20T11:30:09","modified_gmt":"2025-10-20T09:30:09","slug":"ai-and-image-search-a-duo-for-the-future","status":"publish","type":"post","link":"https:\/\/www.searchit-enterprise-search.com\/en\/enterprise-search-en\/ai-and-image-search-a-duo-for-the-future\/","title":{"rendered":"AI and image search: A duo for the future"},"content":{"rendered":"

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It is already well known that companies are confronted with an ever-growing flood of data. In addition to documents and e-mails, industries such as media companies, archives, retail, tourism, construction and many more also have to manage a large number of images, which usually have to be laboriously tagged in order to have them back at hand quickly. Some people long for a Google image search directly on the network drive. The solution to the effort involved in managing large image archives can lie in an internal company search engine. The following article shows possibilities, opportunities and technological must-haves how, thanks to the combination of enterprise search software and new AI functionalities, the company’s internal image search is now also faster, more visual and more intuitive. <\/em><\/p>\n<\/blockquote>\n

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