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

Google Cloud today announced an expanded relationship with Johnson Controls that will involve the leading building technology and solutions company running SAP’s Enterprise Resource Pning Central Component (ECC) environment on Google Cloud.

Designing new aerospace engines is challenging, but Rolls-Royce Germany turned to data analytics and AI to meet these challenges. The results? Reduced costs and shortened lead times.

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.

Good science does not equate to workable manufacturing. This has been a longstanding truth in tissue engineering, a field that has been in limbo between academic R&D and commercialization for its entire decades-long existence.

Some of the biggest technology trends are in smart manufacturing and Industry 4.0 initiatives.

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.

Enhancements include AI (Artificial Intelligence) driven user experience, new simulation types as well as refinements in accuracy and enhanced performance speed and evaluate sound quality.