How artificial intelligence will redefine Industry 5.0 #sciencefather #researchawards #ArtificialIntelligence #Industry5_0
The authors argue that AI is the structural enabler of this paradigm shift. It combines machine learning, big data, the Internet of Things (IoT), and intelligent robotics to enhance operational efficiency while personalizing production systems. The result is an industrial ecosystem that adapts dynamically to human needs, resource availability, and market demands.
Anew study outlines a transformative vision for the next industrial era, Industry 5.0, driven by artificial intelligence (AI) and defined by collaboration between humans and machines.
The study, titled “Towards an Industry 5.0 Enhanced by AI: A Theoretical Framework,” published in Engineering Proceedings, was presented at the 7th International Conference on Advanced Technologies for Humanity (ICATH 2025) in Kenitra, Morocco. It introduces a new theoretical model that positions AI as the backbone of industrial innovation, productivity, and sustainability, while warning that human factors, ethics, and governance must remain central to the transition.
The framework explores how AI will not only optimize industrial performance but also redefine strategic leadership, organizational culture, and human labor in the coming decade. By bridging the gap between automation and empathy, the study presents a roadmap for industries seeking to balance efficiency with social responsibility in the age of intelligent machines.
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Anew study outlines a transformative vision for the next industrial era, Industry 5.0, driven by artificial intelligence (AI) and defined by collaboration between humans and machines.
The study, titled “Towards an Industry 5.0 Enhanced by AI: A Theoretical Framework,” published in Engineering Proceedings, was presented at the 7th International Conference on Advanced Technologies for Humanity (ICATH 2025) in Kenitra, Morocco. It introduces a new theoretical model that positions AI as the backbone of industrial innovation, productivity, and sustainability, while warning that human factors, ethics, and governance must remain central to the transition.
The framework explores how AI will not only optimize industrial performance but also redefine strategic leadership, organizational culture, and human labor in the coming decade. By bridging the gap between automation and empathy, the study presents a roadmap for industries seeking to balance efficiency with social responsibility in the age of intelligent machines.
For Enquiries: info@computerscientist.net
Website: computerscientists.net
Nominate Now: https://computerscientists.net/award-nomination/?ecategory=Awards&rcategory=Awardee
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