Why Industrial AI Still Struggles in Supply Chains
As AI adoption accelerates across the supply chain, numerous manufacturers are discovering that success requires more than just technology. Scaling AI involves not only the development of advanced models but also a robust data infrastructure, effective training programs, and the preservation of institutional knowledge prior to its departure.
This week, host Ellen Wood engages with Bryan DeBois, Director of Industrial AI at RoviSys, to discuss the intricate challenges associated with implementing AI in industrial operations. Bryan provides insights from over two decades in the field, presenting a practical perspective on transitioning from isolated pilots to scalable, long-term solutions. He also examines how autonomous AI is poised to revolutionize the future of manufacturing and why the human element remains paramount. In this episode: The reasons industrial supply chains face difficulties in successfully scaling AI The significance of data maturity, training, and expert knowledge transfer How AI can enhance both operational excellence and sustainability.