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elunic - professional services for the connected industryWelche Herausforderungen gibt es bei der Implementierung von KI im Maschinenbau?

Welche Herausforderungen gibt es bei der Implementierung von KI im Maschinenbau?

Herausforderungen umfassen die Integration von KI in bestehende Systeme, den Mangel an qualifizierten Fachkräften, Datenschutz- und Sicherheitsbedenken, die Notwendigkeit großer Datenmengen für das Training von KI-Modellen und die Bewältigung der Skepsis oder des Widerstands bei den Mitarbeitern. Eine Prozessbegleitung durch Experten stellt sicher, dass Unternehmen im Maschinenbau in mehreren Schlüsselbereichen unterstützt werden. Spezifische Dienstleistungen und Lösungen, die auf die individuellen Bedürfnisse und Herausforderungen im Maschinenbau zugeschnitten sind, können eine entscheidende Rolle bei der erfolgreichen Implementierung und Maximierung des Nutzens von KI-Technologien spielen. Durch die Expertise in der Systemintegration können diese Dienstleister die Kompatibilität und Effizienz der neuen KI-gesteuerten Prozesse sicherstellen.

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          With the shopfloor.io asset ping, you can connect existing machines in the field, record and visualise machine data, distribute digital services and increase your after-sales.

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                                  After the first screening, we will send you an invitation to our Talentcube tool. We have prepared 3-5 short questions that you can answer in a personal video (we have also prepared a short introduction video). If you don't feel comfortable with this, please let us know - we'll find an alternative!

                                  We want to get an authentic first impression of you and at the same time have the opportunity to review your video with our team and make the right decisions quickly.