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For most of its history in manufacturing, metrology’s competitive arena was at the point of measurement.

When a legacy automotive or aircraft part breaks and needs a replacement, manufacturers currently have no good options.

Many of the strongest shops are challenging the convention that manufacturing is a conservative sector when it comes to new technology.

The concept of smart manufacturing has been evolving for a decade among leading manufacturers, expert practitioners and consortia organizations like CESMII–the U.S.

I first wrote about substitute skin in 1993. And at the time, it seemed that stand-in organs—at scale—were imminent.

AI already helps individual factories improve production, safety, efficiency and other metrics while lowering costs. Marrying AI and cloud technology can supercharge those benefits.

Designing new aerospace engines is challenging, but Rolls-Royce Germany turned to data analytics and AI to meet these challenges. The results? Reduced costs and shortened lead times.

At a Tier 1 automotive manufacturer in Mexico, it quickly became clear that AI in the factory was a fantastic solution to help human workers achieve greater levels of success; a human plus machine scenario where AI enhances the capabilities of, rather than replaces, human workers.

In a few short years, the Center for Manufacturing and Metrology at the University of Hartford has become a leading national provider of education, training and research in measuring technology for manufacturing.

Mark 2020 as the year the U.S. government chose to stand up a Manufacturing Innovation Institute focused solely on cybersecurity.