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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.

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.

As additive manufacturing (AM) moves from prototypes to mass production, manufacturers are setting their sights on the holy grails—the products and processes that will be game-changers. Many game-changers are already in play.

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

The U.S. Department of Defense (DoD) is set to award $10 million in funding this year to the Digital Manufacturing and Design Innovation Institute (DMDII) here, UI Labs CEO Caralynn Nowinski Collens, said this morning. UI Labs is DMDII’s parent organization.

Machine vision is proving ideal in helping humans perform tedious but crucial manufacturing tasks. That is why it is poised to grow significantly in the next few years.

Blockchain technology is becoming a key player in modernizing supply chains to enable easy tracking, automate transactions and delivery, and build end-to-end trust, Chandra Narayanaswami, principal research staff member, Member IBM Academy of Technology at IBM Research, told people attending a smart manufacturing session at the MD&M West conference here last week.

So you have finally decided to start your digital transformation. You have seen the benefits around digitizing your operations. By connecting your disparate systems, you can start seeing what is actually happening in your plant and become more efficient. And not just in one plant, but in multiple plants.

There is an ever-increasing demand for the individualization of products from today’s consumer. When consumers are able to get exactly what they want (shape, size, color) they are more satisfied and more likely to do repeat business. But how do you scale custom part production?

The Pittsburgh region is a hotbed of activity in robotics and AI. This activity includes research and technology companies that commercialize academic research and solve real world problems.