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As artificial intelligence continues to evolve, manufacturers face an important question: How can they distinguish promising technologies from solutions that deliver measurable value?
"One of the biggest challenges that manufacturers face today is separating hype from practical value," says Nasir Mannan, Technical Fellow at the Connecticut Center for Advanced Technology (CCAT).
In a recent conversation with Peter Propp of the University of Bridgeport, Mannan discussed how CCAT helps manufacturers evaluate, validate, and adopt emerging technologies, including AI, robotics, digital twins, and industrial automation.
Putting AI to Work in Manufacturing
One promising application is AI-assisted maintenance. CCAT is evaluating Op Zero, a platform designed to capture technical knowledge and make it accessible to technicians for troubleshooting, equipment maintenance, and spare-parts management.
The technology could help preserve the expertise of experienced personnel while supporting less experienced technicians working with machining, welding, and sheet-metal equipment.
Another opportunity involves using real-time machine data to support more informed maintenance and production decisions. Mannan described systems capable of collecting 75–100 machine parameters at 500 Hz (500 times per second). Analyzing this data could help manufacturers better understand tool wear, monitor equipment health, and anticipate spare-tool requirements.
Evaluating Technology Before Investing
For manufacturers, the challenge isn't simply identifying new technologies. It's determining which applications make sense for their operations.
"My mission is really to help manufacturers evaluate, validate, and adopt advanced technologies that improve their productivity, competitiveness, and workforce effectiveness," Mannan explains.
Through technology assessments, demonstrations, and pilot projects, CCAT helps manufacturers explore potential applications in realistic environments before committing to implementation.
"Our goal, really, at the end of the day, is to reduce risk and accelerate adoption." —Nasir Mannan
Watch the Interview and See AI in Action
Watch the full 10-minute conversation between Nasir Mannan and Peter Propp to learn more about how manufacturers can evaluate AI and other emerging technologies.
Mannan will also participate in AI in Action: Manufacturing on November 4, 2026, at the University of Bridgeport. Presented in collaboration with the University of Bridgeport, Tetra Labs, AI Collective, and CCAT, the event will feature live demonstrations of industrial AI applications and a panel discussion exploring opportunities for manufacturers.
Learn More and Register for AI in Action →
