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Flexibility has come to automation, perhaps as never before. And for industries that require precision machining, assembly, and measurement, automation technologies have never been more available.

Artificial Intelligence is weaved in with capacity management, cybersecurity, data science, diagnostics, ERP-PLM integration, location analysis, machine learning, predictive maintenance, process optimization, situational awareness and supply chain management.

Remember the boy with endless learning capacities in the 2001 film “AI Artificial Intelligence”? He’s quickly coming to life. Today, AI is no longer fictional; it’s reality.

The Digital Manufacturing and Design Innovation Institute (DMDII) today kicked off a new cybersecurity initiative focused on manufacturing.

SME is publishing a series of Smart Manufacturing Industry Reports, with the third being released at IMTS this month. The reports, available at sme.org/reports, detail the advantages of smart manufacturing, the challenges to implementing digital solutions, and, finally, keys to implementing the technologies and tools.

Before harmonizing new technology onto the manufacturing floor, critical steps include determining the business problems to be solved and securing buy-in from all stakeholders, industry leaders said recently during an AeroDef conference panel talk on manufacturing production harmonization.

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.

For machine shops in a competitive global marketplace, keeping spindles running and making product is the only way to stay in business. Still, adding a new piece of equipment, even with the promise of improving the efficiency of your existing ones, may be a difficult sell to management.

As with any digital transformation process, the devil is in the details, and there are many potential pitfalls that can derail projects.

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.