English 
Dai Nippon Printing is rolling out a generative AI solution that tries to fix a very real problem most manufacturers quietly live with. Information exists, but it is scattered, slow to access, and often locked in someone’s head.
The new offering combines Dai Nippon Printing’s document structuring AI with Oracle’s autonomous AI database. The pitch is simple. Bring internal documents like manuals and maintenance records together with real-time operational data such as inventory and equipment status, and let AI work across both at once.
That changes how decisions get made on the factory floor. Instead of hunting for PDFs or asking the one experienced operator, teams can query an AI system that responds with both the answer and the supporting data. It cuts response time and reduces dependency on specific individuals.
こちらもお読みください： DataRobotとNebiusが大規模AIエージェントで提携
This move fits into a broader shift. Manufacturing is moving from isolated AI experiments to systems that plug directly into operations. The real value is not chatbots. It is connecting context with live data. ディーエヌピー is betting that whoever solves that layer will define how AI actually gets used in industrial environments.
日本語