This article explores how Large Language Models (LLMs) could improve FP&A productivity and redefine finance Business Partnering.
In this video, Shady Nassour, Regional Finance Director MEA, EU, & CIS at IDP Education, emphasises the crucial role of digitalisation in FP&A, underscoring the importance of three key objectives:
- maximising value,
- gaining leadership,
- and enhancing Business Partnering.
He also shares how FP&A teams overcome data management challenges by adopting AI.
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 are looking at the technology's potential that FP&A professionals can leverage for Intelligent Transformation.
In this article, the author exemplifies why Artificial Intelligence is insufficient for analysing the data and providing insights. He illustrates it by giving an example of Simpson's Paradox, which AI could not handle without human input.
In this video, Tanja Schlesinger, VP OneSource at Deutsche Bahn Regio AG, explains why good data and AI deployment in finance should not be viewed separately. She underlines the importance of establishing the data ownership concept and shares her practical tips on setting up, monitoring and improving data quality for FP&A with the help of AI and automation.