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Because its president saw opportunities to improve efficiency and an immediate need to make up for capacity lost due to impending worker retirements, Daiwa Steel Tube is set to save more than $1 million a year.

At a Tier 1 automotive manufacturer in Mexico, it quickly became clear that AI in the factory was a fantastic solution to help human workers achieve greater levels of success; a human plus machine scenario where AI enhances the capabilities of, rather than replaces, human workers.

When fully integrated with 5G and MEC, manufacturers should be able to accurately track costs using computer vision and launch immersive collaboration and training with the help of augmented reality.

Cobots are an ideal, entry-level robotic device for smaller shops to begin using automation.

Robots simply are not used as widely as they could be, due to persistent barriers.

EV manufacturers must overcome a unique set of challenges to meet future customer expectations. Among them is the challenge to create innovative designs that meet safety requirements, performance criteria and keep costs down in the face of growing competition and a widening skills gap.

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.

The industry’s fastest growing firms are leveraging new artificial intelligence (AI), blockchain and Internet of Things (IoT) solutions to transform supply chains, transport and logistics. Reliance on paper forms and clashing systems are giving way to improved transparency across the value chain.

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.

This is the first in a series of articles that will cover the accelerating improvement in manufacturing technology.