Published Paper Details:

Industry 4.0 marks a significant paradigm shift through the convergence of digital, physical, and biological systems, characterized by the integration of cyber-physical systems, cloud computing, cognitive computing, and the Internet of Things (IoT). Central to this transformation is the deployment of artificial intelligence (AI), which drives economic development by optimizing manufacturing processes, enhancing productivity, and fostering innovation. This study investigates the pivotal role of AI in Industry 4.0, employing a mixed-methods approach that includes a comprehensive literature review, critical analysis of research papers, and expert interviews. The findings reveal that AI technologies such as machine learning, predictive analytics, and computer vision substantially improve industrial operations by reducing costs, improving product quality, and increasing efficiency. Furthermore, the study identifies significant challenges, including data privacy concerns, the need for skilled workforce adaptation, and ethical considerations. By exploring the strategic importance of AI, this research provides insights into how AI adoption can enhance industrial competitiveness and economic growth. The study concludes with recommendations for future research and practical implementations, emphasizing the need for interdisciplinary collaborations, robust regulatory frameworks, and responsible AI deployment. These insights aim to guide stakeholders in harnessing the full potential of AI-driven Industry 4.0, paving the way for sustainable and inclusive economic development.