Imagine factories where AI projects don’t stall after the pilot, they scale confidently across the plant… 

AI is moving from hype to real results on the factory floor, unlocking gains across productivity, quality, and customer value. Yet most plant managers struggle to turn early experiments into plant-wide success, with 80% of projects failing.  

Success depends not just on the right data and technology platform, but on proven methodology & analytics built for the factory.

This talk was the keynote at Europe’s largest smart factory event – Smart Manufacturing & Engineering Week – held in the UK on the first week of June, and looks at 5 key tips for success. 

By popular request, this session shares both a vision, and practical guidance, for deploying AI successfully at scale, combining new capabilities in automated data management, with proven disciplines like Lean and Six Sigma to deliver measurable results. 

"We replaced dangerous manual corrosion inspections and critical maintenance checks in hard-to-reach, high-risk areas with fully automated drone inspections, generating prioritised maintenance to-do lists based on real need."

– Rig Manager – a global oil and gas exploration and production company

"You helped us to set strategic alignment between business goals and our GenAI deployment. We moved from being reactive to serving the business, to a clearly defined path to AI adoption”

– Chief Data Officer – a Fortune 500 Company