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Materials Made for Manufacturing the Future

With more manufacturers and engineers embracing additive manufacturing, or 3D printing, for serial production of functional parts, the demand for and creation of high-performing additive materials continues at a rapid pace.

In China, and world over, it will soon be all about adroitly adjusting on the fly

The concepts Industry 4.0 in Europe, Made in China 2025 and smart manufacturing in the U.S. “all share a common goal—to create cyber-physical systems to innovate in manufacturing,” IDC's Bob Parker said at Dassault Systèmes’ recent Manufacturing in the Age of Experience event. “And it’s really dependent on a set of new technologies like IoT (the Internet of Things) and artificial intelligence (AI).”

Traditional IT firms, traditional OT firms try newfangled ties

Information technology and operations technology are unlikely candidates for a successful marriage. But to ensure that manufacturers thrive in the digital age, OT and IT must find ways to work together—or to at least, as on Tinder, swipe right to indicate interest.

Financial Stress Impacts Your Business

Manufacturing workers are financially stressed, which can lead to distractions on the job and increased absenteeism. Helping relieve some of that stress may lead to increased workforce productivity and can give you a strategic advantage in attracting and retaining key talent.

Blockchain can power move to monetize Big Data, experts say

Blockchain can help power the process to monetize Big Data and will play a role in the FDA’s regulations to limit pharmaceutical counterfeiting by increasing security of the drug supply chain, said experts Smart Manufacturing gathered at Westec 2019 for an exclusive blockchain-tech roundtable

Laser Scanners Demand Attention as Technology Improves

Metrology-grade laser scanners are expanding their range of applications. New users are finding the main attractions of laser scanners—speed and ease of use. What prevented more widespread use in the past were laser scanners’ perceived tradeoffs. Using one usually meant sacrificing accuracy or working with noisy data.