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The bane of modern engineering is complexity. One promise of artificial intelligence and machine learning is helping engineers to use complex tools and harness vast data sets effectively.

We all know the buzzwords circulating around digital data and the factory. You have heard them—Industry 4.0, smart factories, data analytics, and artificial intelligence (AI). The question we all have is how will this impact workers in the long term? What do these terms really mean? Nevertheless, both traditional software suppliers and makers of advanced manufacturing equipment are offering digital solutions.

Optical measuring systems, which use light instead of touch, are becoming more widely used in manufacturing because of their faster speed, higher accuracy and ability to measure oddly shaped parts.

Advanced technology can be used to create sustainable solutions and tackle world poverty.

Reverse engineering is becoming multifaceted and complex. The key drivers: new metrology sensors and more capable software, enabled by ever more powerful and cheaper computing.

The most important step in digitizing any manufacturing or supply chain process is analysis of the ROI and business case and being able to demonstrate success to company leaders.

Company and college collaborate to help Florida achieve goal of becoming #1 state in workforce education

Industrial computed tomography is a cost-effective, reliable way to meet intensifying requirements for qualifying both the design of aerospace parts and the materials needed for their construction.

Businesses are starting to recover from the pandemic—some more than others—and the need to deliver a seamless experience from online to the store is requiring a rethink of entire supply chains.

While fossil fuels dominate the energy market, expect a new mix of parts as renewable energy and EVs grow in market share.