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Factory safety is not a theoretical issue for Gabe Glynn, CEO of the wearable tech firm MākuSafe.

Managing sensor performance has become a must-have for manufacturers. The advent and rapid adoption of IoT technology, enabling smart manufacturing systems, has created a two-fold scenario. Intelligent systems at once provide for near-real-time systems monitoring and create a new prediction problem.

Delta Sigma started thinking about augmented reality (AR) in 2005. By January 2008, the company, which designs and builds custom machinery to automate manufacturing and assembly processes for aircraft production, made its first installation on the F-22 vertical stabilizer.

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.

Remember the boy with endless learning capacities in the 2001 film “AI Artificial Intelligence”? He’s quickly coming to life. Today, AI is no longer fictional; it’s reality.

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.

Basic trends in modern manufacturing are driving growth in 3D optical metrology. “One is the highly complex and high-tech material that manufacturers are using today. For example, in the aerospace turbine blade market, they simply cannot touch the part like they used to—the surface finish of the material is too readily affected by any kind of contact metrology."

Technology is changing ever more rapidly. Sometimes this means topics learned in engineering or technical school become obsolete. Whole new fields emerge within a few years, so that even those with freshly minted educations suddenly find themselves faced with new challenges.

Beware predictions of the demise of any technology. If the early 1920s saw the dawn of the optical comparator, there has been much speculation about its sunset. That was especially true when vision systems started hitting their stride a few years ago. Many could see optical comparators were superfluous with the use of vision systems. Many thought the sunset of optical comparators was imminent. Many were wrong. Why?

Artificial Intelligence is weaved in with capacity management, cybersecurity, data science, diagnostics, ERP-PLM integration, location analysis, machine learning, predictive maintenance, process optimization, situational awareness and supply chain management.