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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.

Aluminum and its alloys are highly popular in the machining industry for many reasons. Did you know it is the most abundant metal on Earth?

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.

Siemens acquisition of TimeSeries to expand Xcelerator portfolio through development of industry-specific apps built on Mendix platform, help customers speed digital transformation through increased adoption of low-code

Before the coronavirus pandemic upended normal life and essentially shut down commercial airliners, the aviation industry had a projected need for 40,000 new aircraft—planes, helicopters, air taxis, and unmanned aerial vehicles—in the next 20 years.

John Catterall, vice president, automotive program for the American Iron and Steel Institute, discusses vehicle lightweighting trends in an interview with SME Media.

Most machining operations today have a heterogenous mix of old and new machines. To achieve a future Smart Factory means connecting existing machining centers, and GROB offers solutions.