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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.

Five experts outline ways companies can help existing racially diverse employees interested in management posts, actions those workers can take, ways recruiters can do better, and ways to prepare for the future.

Assisting Small and Medium-Sized Manufacturers with Industry 4.0/Smart Manufacturing Technology Adoption

FANUC America and the Manufacturing Skill Standards Council have aligned to co-market the stackability of their industry-recognized certifications, representing a major step toward helping the U.S. overcome its shortage of skilled workers.

In a high-mix/low-volume environment, it’s not good enough to simply be part of the pack. Today you need to be out front and pulling away, powered by the best smart tech available.

An engine manufacturer discovers there is a way to reduce 50 billion data points to 2 billion—a reasonable number from which the foundation for machine learning can be built.

AI already helps individual factories improve production, safety, efficiency and other metrics while lowering costs. Marrying AI and cloud technology can supercharge those benefits.

Laser cutting and waterjet cutting: two great technologies that go great together? Or best when they play solo? As ever, the answer is it depends—on what work a shop has coming in the door, what materials are being processed most often, operator skill levels and, ultimately, the available equipment budget.