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Living with the day-to-day reality of COVID-19 can be challenging for individuals. Running a business in this pandemic era is an order of magnitude harder.

Additive manufacturing (AM) in medicine continues to grow each year. It is a remarkable enabler, but the industry is fraught with barriers to adoption, slow for the sake of patient safety.

With today’s focus on lightweighting, hollow parts made from composite materials, such as ducting, fuel tanks, mandrels, and rocket shrouds, are in higher demand than ever before. The composite ducting market in the aerospace and defense sector alone is expected to reach $864.7 million by 2024, according to a recent report from Stratview Research.

My instincts tell me we need a sense of urgency around the use of artificial intelligence (AI) in manufacturing. The urgency is driven by how quickly technology can move today, and how an unexpected breakthrough can quickly dominate.

In the near absence of academic programs to teach undergraduate engineering students additive manufacturing, a California-based startup has stepped in to help fill the void through internships.

My original intention for this column was to discuss a phrase getting a lot of buzz lately, artificial intelligence (AI). By any measure, interest in AI is expanding exponentially, both in the number of articles one can read on the subject and, according to Google Trends, the number of searches for those articles.

Our focus has always been on helping manufacturers improve quality, productivity and visibility. In Sight Machine 2.0, among other things, we’ve added a set of enhancements to improve visibility.

Additive manufacturing lets companies think “outside the box.” Engineers can now start to look at a part without restrictions on size, shape or material. Instead of taking 15 different CNC milled parts and brazing them together, these companies have reimagined the part entirely—to be built as one part.

The U.S. is on its way to becoming a manufacturing powerhouse again, but the White House can do even more by pushing the industry to digitize operations.

Even early adopters of advanced manufacturing technologies are just starting to develop strategies. Implementation will require considerable time, resources, and commitment.