{"id":4591,"date":"2025-10-17T10:19:17","date_gmt":"2025-10-17T08:19:17","guid":{"rendered":"https:\/\/engineering-automation.de\/?p=4591"},"modified":"2025-10-17T10:27:25","modified_gmt":"2025-10-17T08:27:25","slug":"neue-studie-zeigt-potenziale-von-ki-im-technologie-und-innovationsmanagement","status":"publish","type":"post","link":"https:\/\/engineering-automation.de\/en\/neue-studie-zeigt-potenziale-von-ki-im-technologie-und-innovationsmanagement\/","title":{"rendered":"Study shows potential of AI in technology and innovation management"},"content":{"rendered":"
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Study shows potential of AI in technology and innovation management<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Study shows potential of AI in technology and innovation management<\/span><\/p>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Artificial intelligence (AI) has long been more than just a tool for data analysis\u2014it is increasingly becoming a strategic factor in technology and innovation management. A new study shows how companies can use AI to evaluate future technologies in a more targeted manner, automate innovation processes, and make informed decisions.<\/p>

The study \u201cArtificial Intelligence in Technology and Innovation Management,\u201d published by Dr. Ulrich Hutschek (TIM Consulting), Kai Ellermann, and Lennard Haarmann (both Fraunhofer IEM), provides a structured overview of the possible applications of AI in innovation-driven companies. It describes various methods, analyzes current tool landscapes, and uses concrete examples to show how companies are already benefiting from AI today.<\/p>

Key components of the study are:<\/p>

  1. Use in business practice: <\/b>User companies and current challenges from the perspective of users and providers.<\/li>
  2. Classification framework:<\/b> The three levels of the framework: application level, tool level, and technology level.<\/li>
  3. Overview and analysis of the tool landscape:<\/b> Classification of tools into the process level, technology level, and analysis.<\/li>
  4. Business integration and outlook: <\/b>Business integration and key developments over the next 3 to 5 years.<\/li><\/ol><\/div><\/div><\/div>

    \u00a0<\/p><\/div>

    The complete study is available for download for free here.<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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    \n\t\t\t\t\t\t\n\t\t\t\t\t\t\tClick here for the news articles\t\t\t\t\t\t<\/a>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

    Artificial intelligence (AI) has long been more than just a tool for data analysis\u2014it is increasingly becoming a strategic factor in technology and innovation management. A new study shows how companies can use AI to evaluate future technologies in a more targeted manner, automate innovation processes, and make informed decisions.<\/p>","protected":false},"author":4,"featured_media":4593,"comment_status":"closed","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-4591","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-allgemein"],"acf":[],"yoast_head":"\nStudie zeigt Potenziale von KI im Technologie- und Innovationsmanagement<\/title>\n<meta name=\"description\" content=\"Die Studie zeigt, wie KI das Technologie- und Innovationsmanagement unterst\u00fctzt. 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