Under CopyrightVan, Hoai MyHoai MyVanDreiser, MarcMarcDreiserSawczuk da Silva, AlexandreAlexandreSawczuk da SilvaWeiß, GereonGereonWeiß2022-12-202022-12-202022https://publica.fraunhofer.de/handle/publica/430262https://doi.org/10.24406/publica-67210.24406/publica-672In the Industrie 4.0, an increasing amount of data is generated through intelligent interconnection of machines and processes. This data can be leveraged to generate knowledge - through Artificial Intelligence (AI) - to improve production and services. However, it is not sufficient to simply integrate AI. A continuous data and AI life cycle needs to be secured. The single life cycle stages (from data acquisition to AI development to data analysis) need to be executed flexibly and (semi-) automatically. The Fraunhofer IKS is developing a framework to enable and facilitate the flexible and continuous operation of AI in the Industrie 4.0. The aim is to support and automate AI development, integration, and operation, while reducing the effort for the user.enindustry 4.0artificial intelligenceAIAI life cyclepredictive maintenanceframeworkpresentation