In this video, Hashim Ahmed shares his practical experience implementing AI/ML for budgeting and forecasting processes. He exemplifies his insights with a Continuous Planning learning loop from his organisation, enumerating critical success factors for AI deployment and challenges they faced during their implementation journey.

In this article, we will explore the indispensable role FP&A professionals play in modelling and simulating not only Profit and Loss (P&L) scenarios but also working capital and cash generation scenarios.

Nick Arzenton, Head of Finance GDO-IBO at Orange Business, shares how one of Orange Business's branches leveraged historical data and revenue streams for identifying and predicting new core activities. Nick also provides insights from his experience, underscoring the importance of a mindset change and changing processes, which resulted in a faster-to-produce and less costly forecast.

This article provides a working model for businesses eager to transform a typical volume-intensive, cost-focused Shared Service Centre into a value-oriented COE. It also provides the reader with a detailed overview of the differences between these notions, a practical example of such a project and critical factors to consider before driving this transformation.

In this article, the author talks about two of the most prominent applications of AI in FP&A: forecasting and digital twins. He also outlines challenges that FP&A professionals may face when dealing with AI and suggests how to overcome them.

In this article, we will explore why and how Scenario Planning can significantly benefit financial forecasting. We will also discuss its advantages and shortcomings.