Concrete mix technology is demanding and, all too often, thankless. We ask our people to guarantee the structural integrity of the design and minimize costs despite the host of bad things that can happen with mix components and transit. When things go right, our folks are invisible. Yet when things go wrong, they are the first to bear the brunt of the problem. Now help is on the horizon via a new crop of applications based on machine learning, commonly referred to as artificial intelligence (AI). The premise is to use the vast history of mixes and material tests to optimize for cost or carbon dioxide (CO2)—and in many cases, both. Craig Yeack takes a closer look at one of the offerings, Concrete-AI, in this Tech Trends column, published by Concrete Products.