IDEAS home Printed from https://ideas.repec.org/p/zbw/fisibu/308842.html
   My bibliography  Save this paper

Künstliche Intelligenz in der Produktion: Digitale Produktionssysteme und Weiterbildung als Voraussetzung für KI?

Author

Listed:
  • Heimberger, Heidi
  • Jäger, Angela
  • Maloca, Spomenka

Abstract

Künstliche Intelligenz hat das Potenzial, die Unternehmerlandschaft grundlegend zu transformieren und bietet datenbasierte Lösungen für komplexe Optimierungsprobleme. Doch wie gelingt der Übergang von optimistischen Erwartungen zu einer erfolgreichen Implementierung im Produktionsalltag? Diese Mitteilung beleuchtet die aktuelle Verbreitung von KI-Lösung für Produktionsaufgaben. Welchen Betrieben fällt es leichter? Unter welchen strukturellen Bedingungen bietet KI noch keine Lösung? Entdecken Sie, welche Strategien Unternehmen verfolgen und wie wichtig die Integration mit bestehenden Systemen oder die Qualifizierung der Mitarbeitenden sind.

Suggested Citation

  • Heimberger, Heidi & Jäger, Angela & Maloca, Spomenka, 2024. "Künstliche Intelligenz in der Produktion: Digitale Produktionssysteme und Weiterbildung als Voraussetzung für KI?," Bulletins "German Manufacturing Survey" 83, Fraunhofer Institute for Systems and Innovation Research (ISI).
    • Handle: RePEc:zbw:fisibu:308842
    DOI: 10.24406/publica-4047
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/308842/1/1915160227.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.24406/publica-4047?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Modernisierung der Produktion; Künstliche Intelligenz;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:fisibu:308842. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/isfhgde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.