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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.

Like most of the digital architecture of manufacturing, computer numerical controllers (CNCs) have advanced rapidly in recent years, producing far more processing speed and implementing advanced algorithms, while at the same time offering simpler, more intuitive user interfaces.

Robots and job shops have not typically been talked about together. After all, everyone knows that automation is only suitable for high-volume production, and the typical mom-and-pop operation is anything but—its schedule filled with orders for high-mix, low-volume, and often highly complex work.

Modern manufacturing is a data-driven endeavor. The sheer volume of data available to be collected and analyzed is staggering—and something that couldn’t have been envisioned even 20 years ago.

U.S. manufacturing in general, and small- and medium-sized manufacturers in particular, are in danger of being left behind as Europe and Asia move faster toward Industry 4.0, John Dyck, CEO of the Clean Energy Smart Manufacturing Innovation Institute (CESMII), told congressional staff, federal agency staff in a February briefing.

Today, it’s tremendously difficult to get products made. To turn an idea into a tangible object requires a list of difficult-to-obtain resources, including expensive machinery and capital, and a lot of time to program and configure machines.