Watch this video to learn a Case Study from Sandoz about the Analytical Transformation of FP&A using AI/ML and RPA.

Today, many companies are intrigued about what ML can do for their company and are waiting to know what it could mean for their finance function. Based on conversations held with many experts in the financial planning process, in this article Gizelda describes the top 5 desired outcomes that are cited as being necessary for ML to be perceived as adding value:

Watch the recording of the Digital Middle Eastern FP&A Circle to hear insights from senior practitioners and thought leaders about their experiences on Digital AI/ML FP&A.

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.

Microsoft’s mission is to empower all people and organisations to achieve more. But the company has also been striving to achieve more itself, and xP&A has been instrumental in this pursuit.

I hope to show the analytical power that is now available to the FP&A practitioner and how it can drive business change in a structured manner; a method that involves considerably less effort than I had to apply all those years ago.