As AI adoption accelerates across the supply chain, many manufacturers are realizing that success requires more than just technology. Scaling AI is not only about building better models: it also depends on strong data infrastructure, effective training programs, and capturing institutional knowledge before it walks out the door.
This week, host Ellen Wood speaks with Bryan DeBois, Director of Industrial AI at RoviSys, about the deeper challenges of implementing AI in industrial operations. Bryan shares insights from more than two decades in the field, offering a practical look at what it takes to move from isolated pilots to scalable, long-term solutions. He also explores how autonomous AI is beginning to reshape the future of manufacturing and why the human element still matters most.
In this episode:
- Why industrial supply chains struggle to scale AI successfully
- The role of data maturity, training, and expert knowledge transfer
- How AI can drive both operational excellence and sustainability
- Why autonomous AI is the next leap for manufacturing leaders
