The implementation of AI capabilities in FP&A can be a complex and challenging process. From the author's experience, there are some key aspects to consider when implementing AI capabilities in FP&A to increase your chances of success.

Join the FP&A Trends Webinar on May 10 to learn more about deploying Artificial Intelligence (AI) and Machine Learning (ML) for Planning, Budgeting & Forecasting.

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.