Ergebnisse

@inproceedings{10.1007/978-3-031-36889-9_19,

title = {Developing an AI-Enabled IIoT Platform - Lessons Learned from Early Use Case Validation},

author = {Eichelberger, Holger

and Palmer, Gregory

and Reimer, Svenja

and Trong Vu, Tat

and Do, Hieu

and Laridi, Sofiane

and Weber, Alexander

and Niederée, Claudia

and Hildebrandt, Thomas},

editor = {Batista, Thais

and Bure{v{s}}, Tom{'a}{v{s}}

and Raibulet, Claudia

and Muccini, Henry},

isbn = {978-3-031-36889-9},

year  = {2022},

date = {2022-09-19},

booktitle = {Software Architecture. ECSA 2022 Tracks and Workshops},

pages = {265-283},

publisher = {Springer International Publishing},

address = {Cham},

abstract = {For a broader adoption of AI in industrial production, adequate infrastructure capabilities and ecosystems are crucial. This includes easing the integration of AI with industrial devices, support for distributed deployment, monitoring, and consistent system configuration. IIoT platforms can play a major role here by providing a unified layer for the heterogeneous Industry 4.0/IIoT context.},

keywords = {IIoT, IIoT-Platform, IIP-Ecosphere, Industrie 4.0, Industry 4.0, KI in der Produktion, Virtual Platform},

pubstate = {published},

tppubtype = {inproceedings}

}