In Chile, some of the largest copper mines have begun to look at big data and machine learning to help them become better at mining lower grades. With this, several have achieve 1 to 2% increases in recovery. Real-time analytics, machine learning, and integrated platforms enabled them to extract more ore with little dilution at the rock face. More reductions may be achieved through the use of automation, with labor costs equaling roughly 40% of the costs to gold miners. Artificial Intelligence will also help, but the amount of data that has been digitized in mining businesses is still limited. Read More