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.
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: