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NLP in SMEs for industry 4.0: opportunities and challenges

Mathieu Bourdin, Thomas Paviot, Robert Pellerin and Samir Lamouri

Paper (2023)

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Abstract

Natural Language Processing is the field of Computer Science that focuses on analyzing and processing natural language, mainly human text or speech. Recent trends in Natural Language Processing have led to the development of Large Language Models (LLMs): huge models trained on high amounts of data that achieve unprecedented performances in many tasks, such as answering questions, summarizing texts, or coding. These new tools have a wide range of applications and are being developed by many companies. However, Small and Medium Enterprises (SMEs) struggle to implement these new technologies, mainly because of the lack of resources. This paper aims to show the opportunities and challenges related to NLP-based solutions in SMEs based on a literature review. The main result is that NLP-based solutions have a wide range of applications in various companies, including SMEs, and may lead to many changes. However, there are still many obstacles to developing these tools in SMEs: SMEs lack specialized know-how to develop these solutions and do not often have standardized data. Moreover, there exists nearly no support for SMEs in the scientific literature to develop these tools.

Uncontrolled Keywords

Natural Language Processing; Industry 4.0; Machine Learning; Large Language Models; SMEs

Additional Information: co-located with 2023 International Conference on Project Management (ProjMAN 2023) and 2023 International Conference on Health and Social Care Information Systems and Technologies (HCist 2023)
Subjects: 1600 Industrial engineering > 1600 Industrial engineering
Department: Department of Mathematics and Industrial Engineering
Research Center: CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation
PolyPublie URL: https://publications.polymtl.ca/59030/
Conference Title: 2023 International Conference on Enterprise Information Systems (CENTERIS 2023)
Conference Location: Porto, Portugal
Conference Date(s): 2023-11-10 - 2023-11-08
Journal Title: Procedia Computer Science (vol. 239)
Publisher: Elsevier
DOI: 10.1016/j.procs.2024.06.186
Official URL: https://doi.org/10.1016/j.procs.2024.06.186
Date Deposited: 22 Aug 2024 10:31
Last Modified: 02 Oct 2024 11:30
Cite in APA 7: Bourdin, M., Paviot, T., Pellerin, R., & Lamouri, S. (2023, November). NLP in SMEs for industry 4.0: opportunities and challenges [Paper]. 2023 International Conference on Enterprise Information Systems (CENTERIS 2023), Porto, Portugal. Published in Procedia Computer Science, 239. https://doi.org/10.1016/j.procs.2024.06.186

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