How FP&A teams can take advantage of AI and machine learning technologies to drive faster cycle times and foster increased agility? Check out the recording to learn more.
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.
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