Transforming Algerian Industry Through Intelligence: Academic Insights on AI And Digital Transition

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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Publication Details

Journal
CyberSystem journal.
Published
2025-06-30
DOI
https://doi.org/10.57238/csj.2025.1003
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Transforming Algerian Industry Through Intelligence: Academic Insights on AI And Digital Transition

CyberSystem journal.
Geochemistry and Geologic Mapping
article

Transforming Algerian Industry Through Intelligence: Academic Insights on AI And Digital Transition

article en

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 .

CyberSystem journal.Vol. 2(1)
Centre Universitaire Nour Bachir El Bayadh (DZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 37%
Geochemistry and Geologic Mapping
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