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Submitted
10 February 2025
Accepted
22 April 2025
Published
30 June 2025
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Abstract

This article explores the transformative potential of Artificial Intelligence (AI) in reshaping Algeria’s industrial landscape within the broader framework of digital transition. Focusing on key sectors such as energy, agriculture, and manufacturing, the study examines how AI technologies ranging from machine learning and computer vision to natural language processing are being leveraged to enhance efficiency, safety, and decision-making across industrial operations. Through a detailed case study of the national energy leader, Sonatrach, the research highlights measurable improvements including reduced equipment downtime, more accurate resource forecasting, and accelerated data analysis. The article also discusses the alignment of these technological advancements with Algeria’s national digital strategy, while critically addressing persistent challenges such as data infrastructure, workforce readiness, and sectoral scalability. Ultimately, this study offers academic and policy-driven insights into how AI can serve as a catalyst for sustainable industrial modernization in Algeria
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Keywords

Artificial intelligence (AI) Algerian industry Sonatrach Energy sector Smart Manufacturing

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Copyright (c) 2025 Abdelkrim BENALI, Somia BENALI (Author)

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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[1]
A. BENALI and S. . BENALI, “Transforming Algerian Industry Through Intelligence: Academic Insights on AI And Digital Transition”, Cybersys. J, vol. 2, no. 1, pp. 22–26, Jun. 2025, doi: 10.57238/csj.2025.1003.
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How to Cite

[1]
A. BENALI and S. . BENALI, “Transforming Algerian Industry Through Intelligence: Academic Insights on AI And Digital Transition”, Cybersys. J, vol. 2, no. 1, pp. 22–26, Jun. 2025, doi: 10.57238/csj.2025.1003.

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