India, July 13 -- The NTT DATA and Hyster-Yale partnership marks a new step in how artificial intelligence is being used inside factories. Instead of limiting AI to data analysis after production, the companies are embedding intelligence directly into assembly workflows. By combining sensors, edge AI and analytics, the new approach aims to improve quality assurance while helping manufacturers detect problems before products leave the production line.

The solution was developed at Hyster-Yale Materials Handling's manufacturing facility in Berea, Kentucky, where NTT DATA integrated vision sensors, edge AI and advanced analytics into a critical assembly process.

Working with Archetype AI, the companies adapted a physical AI model that comp...