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AI and the Next Wave of Manufacturing Tech

by | May 19, 2022

Summary

Artificial intelligence can be a deciding factor for how quickly your business can jump the competition. By incorporating computer systems into the existing manufacturing process, your machines can perform tasks previously requiring human skills and knowledge.

AI and the Next Wave of Manufacturing Tech

Manufacturing success has always been built around finding the better mousetrap — making something more effective, creating a simpler solution, and reducing the human workload. For an industry once so reliant on simple machines like levers, wedges, and screws and proven processes like Ford’s assembly line, a 21century manufacturer would do well to capitalize on technology that can “think,” “learn,” and “grow” to anticipate a problem and adapt viable solutions faster than its human counterpart.

Artificial intelligence is that technology and it can be a deciding factor for how quickly your business can jump the competition. By incorporating computer systems into the existing manufacturing process, your machines can perform tasks previously requiring human skills and knowledge. Whether it’s visualizing a task from point A to point B, making a decision based on prior experiences, or interpreting data to do something more efficiently, artificial intelligence (or AI as we’ll refer to it) trains your facility to learn, self-correct, and improve — all while removing human error and maximizing human talent.

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Ida Byrd-Hill is a futurist, economist and CEO of Automation Workz, a cybersecurity reskilling and diversity consulting firm. She is author of Invisible Talent Market, a Black Labor Economics History book. She holds an MBA from the Jack Welch Management Institute at Strayer University, with a specialization in People Management/Strategy and a BA Economics from the University of Michigan- Ann Arbor. Byrd-Hill has appeared in Associated Press, BBC, Crain’s Business Detroit, CW Street Beat, Cybercrime Magazine, Daytime NBC, Detroit News, Detroit Free Press, Essence Magazine, Good Morning America, Let It Rip, Michigan Chronicle, Model D, NPR, PBS, and X-conomy. www.autoworkz.org/diverse-lens

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