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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Article
Author(s)
Federico Walas Mateo1 and Andrés Redchuk2
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DOI:10.17265/2159-5275/2021.02.004
Affiliation(s)
1. Universidad Nacional Arturo Jauretche (UNAJ), Florencio Varela B1888, Buenos Aires, Argentina
2. ETSII Universidad Rey Juan Carlos, Móstoles 28933, Madrid, Spain
ABSTRACT
This paper pretends to approach and analyse opportunities and risks that arise under the industrial digital
paradigm. Known by different names like Industry 4.0, Smart Manufacturing, or
Production 4.0, among other terms digitalization in industry is advancing at a
tremendous speed, and is pushing established firms to
change and adopt new tools. Besides, it opens opportunities to technological
startups to deliver new products and services to the industrial market. As an
example of opportunities in operating models, it is clear that digitalization
under the model Industry 4.0 and the advantages of Industrial Internet of
Things (IIoT), allows faster response to customer demands, increases flexibility allowing
the adaptability to manufacturing processes, and provides a tremendous amount
of tools for quality improvement in the processes, among other advantages. This article
addresses the data driven organization as digitalization evolves and the
progress of Artificial Intelligence (AI) and Machine Learning (ML) solutions
for industry.
KEYWORDS
Industry 4.0, industrial AI/ML, data driven management.
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