Why AI pilots fail - and how manufacturers can break the cycle

Too many AI projects stall because organizations fall in love with the technology, not the outcome.

Real transformation only happens when projects are anchored in a clear business plan with measurable ROI - whether that’s increased throughput, lower energy consumption, improved yield, or reduced downtime.

However, with nearly 9-in-10 AI pilots across industries stalling before they can scale, how can manufacturers buck the trend?

Most pilots fail not because the algorithms don’t work, but because the data beneath them is fragmented, poor quality or locked away in silos.

On top of this, IT and OT teams often operate in isolation, making it hard to bridge the gap between innovation in the lab and execution on the factory floor ...