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Today, it’s tremendously difficult to get products made. To turn an idea into a tangible object requires a list of difficult-to-obtain resources, including expensive machinery and capital, and a lot of time to program and configure machines.

Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.

In the pharmaceutical and life sciences industries—and in general in regulated environments—data integrity is essential. Software solutions used by IMA Active provide 100 percent data integrity and easy customization for its global customer base.

A shared testbed for innovation at NIIMBL represents, but doesn’t mimic, what’s happening in an individual firm’s lab.

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

Data is critical for making real-time, informed decisions. Data silos make it impossible for users and systems to access the critical data needed to make those decisions.

The three keynote speakers of HOUSTEX, EASTEC, SOUTHTEC and WESTEC—the Manufacturing Technology Series—offer perspectives pertinent to manufacturers in general, but of particular use to small and medium-sized manufacturers.

The rise of cloud-based, Industry 4.0-level computing and networking technology is making multiple documentation and traceability requirements easier to navigate.

Around the U.S., the major manufacturing regions are taking stock of the fallout from the pandemic and how they can navigate out of the lockdowns in 2020 to thrive once again.

NextFlex, formed in 2015, facilitates innovation in flexible hybrid electronicds—an emerging technology—and fosters domestic manufacturing of them, including workforce development.