The next cycle of technology disruption is upon us. Artificial Intelligence (AI) is taking hold in every industry and manufacturing is no exception. AI enables companies—from medical device and electronics manufacturers to pharmaceutical firms—to leverage their Big Data and IoT investments to see new patterns and insights and to perform tasks more efficiently and quickly than ever before.
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Nearly a year ago, the world became aware of a new computer virus known as WannaCry. Many institutions were affected by the ransomware. It encrypted and locked a Microsoft Windows computing system and demanded payment.
Companies like ABB, Balluff and Sick would be within their rights to film a commercial with exuberant sensor product managers breaking out in a song of cheer.
At UGN, one of our core operating principles is sustainability. That means minimizing waste to improve efficiency, add value, and refine the manufacturing process for our automotive products when and where we can.
Manufacturing Engineering asked thought leaders at five companies for their views on challenges and trends facing the metalworking industry.
More durable and versatile therapeutic wearable material, more accurate part measurement and improved automation and 3D printing were among the many technologies on display at this year’s Medical Design & Manufacturing (MD&M) East conference, June 12-14, in New York City.
What does a submarine operating underwater have in common with a metal stent propping open a human artery? More than you’d think initially.
A decade removed from the Great Recession, the U.S. job market is thriving. Because employers are struggling to fill empty positions, they must explore other ways to increase production needs.
Artificial intelligence will go long way to imbue data management with trust.
With the September issue, Smart Manufacturing introduces Collective Intelligence, a new initiative under which we gather experts in one room to go deep on one important topic. We focused this first roundtable on the intractable problem of the workforce skills gap.