A Review of Big Data Analytics and Artificial Intelligence in Industry 5.0 for Smart Decision-Making

Kassim Kalinaki, Umar Yahya, Owais Ahmed Malik, Daphne Teck Ching Lai

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Globally, the industrial landscape is witnessing a significant transformation with the emergence of Industry 5.0, marking a new era characterized by seamless convergence of digital technologies, physical systems, and human expertise. This shift hinges on the dynamic interplay between big data analytics (BDA) and artificial intelligence (AI), becoming the cornerstone of intelligent decision-making in Industry 5.0. Accordingly, this study explores the profound impact of integrating BDA and AI in Industry 5.0, emphasizing the pivotal roles of data acquisition, storage, and processing. Additionally, it examines how AI improves human decision-making across various industrial sectors like manufacturing, retail, automotive, energy grid management, and healthcare, showcasing real-world case studies. Moreover, the chapter addresses the challenges associated with managing large-scale data and offers innovative solutions. It concludes by looking ahead, outlining promising areas for future research at the intersection of BDA and AI to foster well-informed decision-making in Industry 5.0.


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