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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

A Review on Artificial Intelligence in the Context of Industry 4.0

Author 1: Shadi Banitaan
Author 2: Ghaith Al-refai
Author 3: Sattam Almatarneh
Author 4: Hebah Alquran

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2023.0140204

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 2, 2023.

  • Abstract and Keywords
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Abstract: Artificial Intelligence (AI) is seen as the most promising among Industry 4.0 advancements for businesses. Artificial intelligence, defined as computer models that mimic intelligent behavior, is poised to unleash the next wave of digital disruption and bring a competitive advantage to the industry. The value of AI lies not in its models, but in the ways in which we can harness them. It is becoming more common for industry objects to be converted into intelligent objects that can sense, act, adapt, and behave in a given environment. Leaders in the industry will need to make deliberate choices about how, when, and where to deploy these technologies. Our work highlights some of the primary AI emerging trends in Industry 4.0. We also discuss the advantages, challenges, and applications of AI in Industry 4.0.

Keywords: Artificial intelligence; Industry 4.0; intelligent manufacturing; industry analysis

Shadi Banitaan, Ghaith Al-refai, Sattam Almatarneh and Hebah Alquran, “A Review on Artificial Intelligence in the Context of Industry 4.0” International Journal of Advanced Computer Science and Applications(IJACSA), 14(2), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140204

@article{Banitaan2023,
title = {A Review on Artificial Intelligence in the Context of Industry 4.0},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140204},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140204},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {2},
author = {Shadi Banitaan and Ghaith Al-refai and Sattam Almatarneh and Hebah Alquran}
}


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