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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.

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.

How real machine data can spur improvement in manufacturing.

Digitization and data dominated the discussion as EASTEC returned to West Springfield, Mass., after its 2020 pandemic hiatus.

Specifications alone don’t tell the full story of a machine’s value – discover three key areas to explore when making a machine tool purchase.

Light vehicles will be so different by 2035, experts aren’t even sure we’ll still call them “cars.” Perhaps “personal mobility devices.” More important will be the radical changes to the manufacturing of automotive parts.

Robots simply are not used as widely as they could be, due to persistent barriers.

AP&T provides a case study of the work it did at a plant in Italy of Fiat Chrysler Automobiles (now Stellantis).

EV manufacturers must overcome a unique set of challenges to meet future customer expectations. Among them is the challenge to create innovative designs that meet safety requirements, performance criteria and keep costs down in the face of growing competition and a widening skills gap.

The push to launch electric vehicles (EVs) and the ever-increasing array of tech options will mean staying informed of repair trends will be critical.