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Change is hard. Whether it’s learning a new software package or setting up a new model of machine tool, many of us wonder at some point, “Is all this hassle worthwhile?” Change can also be risky, raising the specter of lost time, revenue, and reputation.

Had IMTS 2020 taken place as scheduled, it would have been clear that making parts as quickly and cost-effectively as possible remains as the primary goal in manufacturing.

Marposs Announces BLÚ LT Modular Control System for Machine Tools; Suited for Applications of Medium Complexity

ATI Industrial Automation’s QC-7 Robotic Tool Changer is a solution for automatic end-effector exchange.

Mark 2020 as the year the U.S. government chose to stand up a Manufacturing Innovation Institute focused solely on cybersecurity.

In today’s ultra-connected and camera-covered smart factories, the amount of visual data generated and transferred taxes even the most powerful computer and network systems.

AI’s learning ability is moving to the compute edge. And manufacturers will be a major beneficiary. I realized the usefulness of being able to run AI on small computer processing power while working with NASA in 2010.

Profound changes in the manufacturing landscape are now being driven by current health concerns and their influence on how plant and factory workers do their jobs.

As manufacturing undergoes the revolutionary changes of the Digital Age, the people with the keenest leadership skills have taken up the charge to modernize the industry so that it leverages the cloud and Big Data and is connected and smart.

Innovation in smart manufacturing can come in a flash from a lightbulb moment, but those instances are few. More often than not, breakthroughs in technology, such as bioprinting, blockchain, cloud-based manufacturing and real-time production control, happen after years of careful study accompanied by painstaking, methodical work done sometimes in academic settings.