Professional forecasters often apply some version of a Markovmodel in order to get a baseline and then incorporate other factors, such as barometric pressure, to improve accuracy.
According to the company, its system can handle virtually any AI application that can be translated to a Markov random field a special type of statistical model used for applications such as vision problems for computers or determining biological pathways.