Two of the biggest challenges in improving a carbon footprint are determining its size in the first place – and analyzing the actions that might significantly impact it. The more data available, the more an individual or a corporation can make a plan and quantify the likely impact.

Over the past few years, the use of artificial intelligence has exploded, driven by cheaper computing and more available big-data sets. When applied to predictive maintenance, it can prolong the lives of industrial equipment and reduce O&M costs by 10%. Programmed into robots, drones, or cars, it can make possible object recognition and autonomous navigation. It already plays a part in sustainability because of its ability to reduce energy and resource consumption. Now there is a chance for AI to improve the way companies determine and report their sustainability impact…