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This article is part of a 3-part series exploring the key barriers preventing successful AI adoption in manufacturing and supply chains, based on recent research and industry insights. In  Part 1 , I examined organizational and cultural barriers.  Part 2  addressed the technical and data challenges. This final article focuses on the ethical and governance issues that shape responsible and sustainable AI adoption. In   Part 1   of this series, I examined how organizational and

This article is part of a 3-part series exploring the key barriers preventing successful AI adoption in manufacturing and supply chains, based on recent research and industry insights. In  Part 1 , I examined organizational and cultural barriers. This second article focuses on the technical and data-related challenges that often prevent AI solutions from scaling effectively. Without high-quality, integrated, and accessible data and without the infrastructure to support real-t

This article is part of a 3-part series exploring the key barriers preventing successful AI adoption in manufacturing and supply chains, based on recent research and industry insights. In Part 1, I focus on organizational and cultural barriers. AI has emerged as a transformative force in manufacturing and supply chain management, promising enhanced efficiency, predictive capabilities, and strategic agility. However, integrating AI into strategic decision-making processes is n