A team from Verisk's Atmospheric and Environmental Research (AER), Massachusetts Institute of Technology (MIT), Microsoft Research, and Stanford University published an opinion article in WIREs Climate Change on the benefits of applying machine learning to the practice of subseasonal-to-seasonal (S2S) weather prediction.