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In IIoT-based smart factory setups, AI-enabled digital assistants are linked into all assets and all data. It is this intelligence that takes the IIoT beyond data collection to predictions and decisions.

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.

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.

The demand for titanium components by the aerospace industry began as a whisper about 15 years ago and steadily grew to a sustained, raucous shout over the last five and likely won’t quiet for several more.

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.

Unlocking Efficiency: Revolutionizing Tooling Management for Manufacturing Excellence. Discover how advanced automation software and hardware solutions are transforming tool inventory control, enhancing productivity, sustainability, and cost-effectiveness on the shop floor.

Resurrecting Lost Parts: 3D Scanning's Game-Changing Solution

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