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JAIT 2024 Vol.15(3): 397-406
doi: 10.12720/jait.15.3.397-406

Integration of AI Use Cases in Training to Support Industry 4.0

Artem A. Nazarenko 1,2, Majid Zamiri 1,*, Joao Sarraipa 1, Paulo Figueiras 1, Ricardo Jardim-Goncalves 1, and Néjib Moalla 3
1. NOVA School of Science and Technology, Center of Technology and Systems (UNINOVA-CTS) and Associated Lab of Intelligent Systems (LASI), NOVA University Lisbon, 2829-516 Lisbon, Portugal
2. Chair of IT Security, Brandenburg University of Technology Cottbus-Senftenberg,
Konrad-Wachsmann-Allee 5, 03046 Cottbus, Germany
3. Decision and Information Systems for Production Systems (DISP) Laboratory, Université Lumière Lyon 2,
69500 Bron, France
Email: a.nazarenko@campus.fct.unl.pt (A.A.N.); ma.zamiri@campus.fct.unl.pt (M.Z.); jfss@uninova.pt (J.S.); paf@uninova.pt (P.F.); rg@uninova.pt (R.J.-G.); nejib.moalla@univ-lyon2.fr (N.M.)
*Corresponding author

Manuscript received July 27, 2023; revised August 10, 2023; accepted August 31, 2023; published March 26, 2024.

Abstract—As the demand for Artificial Intelligence (AI) continues to grow across industries, there is a need for effective training programs that support the successful deployment of AI in various organizational contexts. This study aims to bring attention to the importance of training programs in preparing industry professionals for AI implementation and highlights key considerations for designing effective training initiatives. It identifies the needs of the industry, hands-on learning experiences, and continuous skill development to ensure the optimal utilization of AI technologies in the context of Industry 4.0. In line with the objective of this work and with the support of an EU project and an associated Digital Innovation Hub (DIH), three comprehensive training programs in Maintenance, Production, and Quality are being developed. Industries can benefit from these training programs, which foster a workforce that is equipped with the necessary knowledge, skills, and awareness to enhance the implementation of Industry 4.0-related technologies and concepts, including AI and supportive technologies. The paper is terminated with concluding remarks and briefly looks into possible future work.
Keywords—training program, Artificial Intelligence (AI), Industry 4.0, Digital Innovation Hub (DIH), machine learning

Cite: Artem A. Nazarenko, Majid Zamiri, Joao Sarraipa, Paulo Figueiras, Ricardo Jardim-Goncalves, and Néjib Moalla, "Integration of AI Use Cases in Training to Support Industry 4.0," Journal of Advances in Information Technology, Vol. 15, No. 3, pp. 397-406, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.