When we recently surveyed architectural and engineering/construction firms (A&E/Cs) and asked what trends or forces they see driving automation projects, every firm mentioned “labor” or “workforce availability” in its initial response.
Good data—and lots of it—is key to making artificial intelligence/machine learning (AI/ML) production, inspection and packaging systems work without a hitch, plus well written algorithms to analyze the data and make decisions that will help people and machines function more intelligently.