“Time is money.” We hear this phrase all the time, but most energy engineers aren’t employing one of the greatest time-savers available to them: artificial intelligence (AI). Manufacturers, quality control engineers, and building owners have all integrated AI tools into their day-to-day operations to cut costs and inefficiencies. However, according to a McKinsey & Company report, engineering has the lowest predicted AI adoption rate compared to every other major industry analyzed in the study.
But the value behind AI adoption is simple: AI can help conduct faster, more cost-effective, and less frustrating energy audits. So, how can energy engineers begin to adopt AI? And what tools can help create practical solutions to the challenges they face?