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Several years ago, a global commercial vehicle maker asked my firm to develop a remote fleet management, health and performance portal that would open a new revenue stream.

I’m among the first to dive into the latest manufacturing innovations and see how they can improve our customers’ operations. Yet, I’m also among the first to advise them to pause and ensure that the fundamentals of their manufacturing processes are in place before adding something new into the complex mix of functionality and desired outcomes.

It’s a familiar scenario at the factory. Quality issues have reared their ugly heads, requiring rework, causing backorders, delaying shipments, and driving tense daily customer calls. Meanwhile, the team works to address production issues using a mix of day-old post-mortem reports, shop-floor observations captured on notepads, and other operational data summarized on spreadsheets and sticky notes.

Defense systems are, by design, built to defend against threats. Today, however, manufacturers of these systems are focusing on an entirely new kind of threat: security breaches targeting their automation systems.

The increased use of CT scanning for metal powder bed fusion parts is usually associated with high-value parts and elevated quality requirements. There are increased requests for CT scanning on parts made of engineering-grade polymers like PEEK, PEKK or ULTEM and for fiber-reinforced composites like Nylon 12 CF.

Companies like ABB, Balluff and Sick would be within their rights to film a commercial with exuberant sensor product managers breaking out in a song of cheer.

The next cycle of technology disruption is upon us. Artificial Intelligence (AI) is taking hold in every industry and manufacturing is no exception. AI enables companies—from medical device and electronics manufacturers to pharmaceutical firms—to leverage their Big Data and IoT investments to see new patterns and insights and to perform tasks more efficiently and quickly than ever before.

Nearly a year ago, the world became aware of a new computer virus known as WannaCry. Many institutions were affected by the ransomware. It encrypted and locked a Microsoft Windows computing system and demanded payment.

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.

Northrop Grumman's SCRAM system revolutionizes additive manufacturing with integrated continuous carbon fiber for aerospace and defense. It offers cost-effective build-on-demand capabilities, streamlines certification processes, and enhances agility in responding to evolving customer needs.