Imagine you’re a train dispatcher tasked with making hundreds of trains run smoothly every day. They must go through an interconnected network where trains run in a sequence and can’t just pass each other along the route. Suddenly a delay occurs on one of the trains because a door won’t close properly. What do you do?
 

At the sixth meeting of the AI/ML FP&A Committee, Saul Mateos, Finance Director at Coca Cola (previously Senior FP&A Director at Egencia), shared Egencia's journey of using Artificial Intelligence for FP&A.

Matthias Thurner, Chief Technology Officer, Unit4 Prevero, shares his vision about how AI influences FP&A. 

At the fifth Committee meeting, Kevin McConnell, Intelligent Technologies Solution Strategy at SAP, shared an interesting presentation about using Machine Learning for better results in FP&A. In the video, Kevin talks about the evolution of Machine Learning and how machine learning automation works.

At the third meeting of the AI/ML FP&A Committee, Xena Ugrinsky, Principal and Founder at GenreX, talked about the future of FP&A and some ways of incorporating AI into the financial forecasting process. Also, Xena provided an example explaining how Stanley Black & Decker improved financial forecasting by 60%.

In this video, Stefan Spiegel, CFO at Swiss Railway Freight Logistics (SBB Cargo AG), talks about the program that they used in SBB Cargo to replace management accounting. Instead of using a classical cost-accounting system, SBB Cargo switched to Intelligent business simulation engine.