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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.

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

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.

Supply-chain stresses are especially troublesome to the aerospace industry and its Tier suppliers. It’s critical that manufacturers in this industry attain a comprehensive understanding of their vulnerabilities.

Calculated use of an increasing variety of information-gathering tools is turning Big Data into Even Bigger Data and democratizing access to the information collected.

The digital thread is one piece of the digital transformation underway at NASA and throughout the manufacturing community.

When it comes to turbine blade repair, directed energy deposition is the go-to solution. This helps explain why Optomec has installed nearly 100 machines for this application, with more than 10 million blades repaired thus far.

An intelligent and highly flexible transport system enables a wide variety of production steps to be flexibly combined in a modular, powerful and versatile machine for the assembly of automotive fuel lines.