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We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.

Mahr Inc., a global manufacturer of precision measurement equipment, will host a grand opening of its new Midwest Regional Customer Center July 25-26.

Marshall Aerospace and Defence Group is now using 3D printing from Stratasys to manufacture flight-ready parts for several of its military, civil and business aircraft—while producing specific ground-running equipment at a lower cost than aluminum alternatives.

The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.

The state of manufacturing is always a combination of tried and true methods; improvements (sometimes dramatic) in traditional processes; and brand new technology few people even conceived of a few years ago.

The world of quality measurement devices and software continues to expand, and IMTS years are especially exciting times. If there is a theme in the many offerings—new devices, new software—it might be how quality devices are continuing to burrow their way into the heart of manufacturing on the shop floor.

Additive manufacturing, or 3D printing, has been a game changer in how products are designed, produced and manufactured. But 3D printed parts don’t just come out of the machine ready to use, sometimes intensive manual post-processing is required. Jeff Mize, CEO of PostProcess Technologies, sits down with Chris Mahar, Associate Editor, to discuss their automated post-processing technology and how fully digitalized additive manufacturing is further benefiting the industry.

IIoT expert Steve Jones who will speak Oct. 29 at “The Best of SMX” (smxevent.com), describes in detail the Industrial Internet of Things (IIoT), as well as AI/machine learning and other promising technology for manufacturing’s future. Like with many things in life, it is important to set goals first, the Steelcase executive says. Not sure where to begin with IIoT? Never fear: Jones has the answer.

Craig Zoberis and Davin Erickson detail how Fusion OEM discovered and implemented collaborative robots, or cobots. The company is now investing in future expert machinists by using cobots—and making headway in closing the manufacturing industry skills gap. They explain the phases of training for cobots, as well as how cobots “talk” with other machines—and how machines perform “handshakes” (and are therefore envied by humans who today are struggling with social distancing).

Diego Tamburini, principal industry lead for manufacturing in the cloud + AI division of Microsoft, reviews the impact of the COVID-19 crisis in manufacturing. He shares his thoughts about how the industry should respond—and lists the attributes of manufacturers best positioned to survive the crisis. Finally, he outlines new opportunities for developers of smart manufacturing software solutions under the “new normal.”