In this article, the author explains why AI/ML is not magic, even though some might think so. The interaction between the FP&A professionals and the AI/ML toolbox defines the success of the outcome. He also considers why FP&A professionals struggle with AI/ML.
This article highlights the case study discussed at the AI/ML FP&A Committee Meeting #18. We invited Scott Campbell, Head of Center of Excellence - Finance & FP&A, to be a speaker, and he shared a robust case study from Philips on Digital Finance.
At the FP&A Trends webinar on March 28th, we discovered at how predictive technology can be used to make planning a faster, more accurate and agile process, that spans the entire organisation.
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.