IEA/AIE 2026
IEA/AIE 2026
Kuala Lumpur, Malaysia
| July 6-8, 2026
Distinguished Keynote Speakers
Abstract
TBU
Biography: Prof. Ts. Dr. Mohd Shafry Mohd Rahim
Keynote Speakers
Is Industry Ready for AI? Bridging the Gap Between Promise and Reality?
Guido Guizzi
University of Naples Federico II – Italy
Abstract
Artificial Intelligence and Machine Learning are rapidly reshaping industrial systems, promising unprecedented improvements in efficiency, flexibility, and decision-making. From reinforcement learning for dynamic scheduling and predictive maintenance to large language models supporting operators and knowledge management, AI-driven solutions are opening new frontiers for smart manufacturing. However, despite these advancements, a significant gap remains between theoretical potential and real-world deployment. Industrial environments are characterized by complex, dynamic processes, fragmented and scarce data, and the need for robust, real-time decision-making—conditions where traditional AI approaches often struggle. Moreover, critical challenges such as data quality, model reliability, integration with legacy systems, and human-AI interaction raise fundamental questions about the true readiness of industry for large-scale AI adoption. This keynote explores both the opportunities and the open issues of AI in industrial applications, highlighting practical use cases alongside current limitations. It aims to provide a realistic perspective on how to move from isolated pilots to sustainable, value-driven implementations, ultimately outlining the path toward truly intelligent and adaptive industrial systems.
Biography: Guido Guizzi is an associate professor in the Department of Chemical, Materials and Production Engineering at the University of Naples Federico II. He is Associate Editor of the international journal Applied Intelligence. His current research interests include: Application of Artificial Intelligence and Machine Learning to Operations Management - with a focus on optimization, scheduling, and data-driven decision support - modelling and simulation of stochastic systems, Supply Chain Management, Logistics, Six Sigma. He obtained his PhD in Aerospace Engineering, Naval and Quality (University of Naples Federico II – Italy) in 2006. He has successfully collaborated with industry and academia, authoring more than 100 peer-reviewed research publications. He has been involved in several projects funded by companies. His email address is g.guizzi@unina.it.
