AIM4M: MLOps strukturiert im Produktionsumfeld/AIM4M: Structured MLOps for Manufacturing AI

Inhaltsverzeichnis

Bibliographische Infos

Cover der Ausgabe: wt Werkstattstechnik online Jahrgang 115 (2025), Heft 09
Open Access Vollzugriff

wt Werkstattstechnik online

Jahrgang 115 (2025), Heft 09

Autor:innen:
Verlag
VDI fachmedien, Düsseldorf
Copyrightjahr
2025
ISSN-Online
1436-4980
ISSN-Print
1436-4980

Kapitelinformationen

Open Access Vollzugriff

Jahrgang 115 (2025), Heft 09

AIM4M: MLOps strukturiert im Produktionsumfeld/AIM4M: Structured MLOps for Manufacturing AI

Autor:innen:
ISSN-Print
1436-4980
ISSN-Online
1436-4980
Kapitelvorschau:

Der produktive Einsatz von KI in der Industrie scheitert oft nicht an der Modellentwicklung, sondern am stabilen Betrieb im Produktionsumfeld. AI Asset Management for Manufacturing (AIM4M) ist ein Prozessmodell für den KI-Lebenszyklus in cyber-physischen Produktionssystemen (CPPS) mit Fokus auf die Operationalisierung. Es ergänzt dazu den Ansatz von Machine Learning Operations (MLOps) aus der IT um CPPS-spezifische Feinheiten – als praxisnaher Orientierungsrahmen.

Literaturverzeichnis

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