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A few years ago, two companies joined forces to greatly enhance productivity in heavy milling and crankshaft machining. Their combined efforts resulted in solutions to improve throughput and reduce costs by a factor of four in some cases.

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.

The word “reconditioned” can ignite visions of worn, overworked products inferior to new ones. The reality is as long as you purchase from a reputable supplier, reconditioned cutting tools will deliver the same consistent results as they did upon initial purchase.

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.

March 2021 U.S. cutting tool consumption totaled $177.6 million, up 18.8 percent from February's $149.5 million and down 2.6 percent when compared with the $182.3 million reported for March 2020.

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.