This paper explores the integration of Artificial Intelligence (AI) and Machine Learning (ML) technologies within Industry 4.0 frameworks, with a specific focus on smart manufacturing. We examine three key application areas: AI-driven automation and industrial robotics, smart factories with predictive maintenance capabilities, and AI/ML solutions for supply chain optimization. Through analysis of current implementations and emerging technologies, we identify both the transformative potential and implementation challenges of these technologies in manufacturing environments. Our findings suggest that while AI and ML are revolutionizing industrial processes through enhanced efficiency, reduced downtime, and optimized logistics, successful implementation requires strategic approaches to data integration, workforce preparation, and system interoperability.
Artificial Intelligence, Machine Learning, Industry 4.0, Smart Manufacturing, Industrial Robotics, Predictive Maintenance, Supply Chain Optimization, Digital Transformation