In this uncertain environment, FP&A professionals need to reconsider their approaches to forecasting and revenue management. It is very important to incorporate Machine Learning into these finance processes.

Wibe Spekking, CFO at Microsoft, believes that there are at least three reasons to use ML for revenue forecasting: Accuracy, Time-to-market, and Efficiency.

Watch the video to listen to the case study of one of the world's leading companies about Machine Learning Revenue Forecasting.