FP&A teams face constant overload due to growing demands, talent churn, and zero error tolerance — discover how automation, prioritisation and standardisation can break the cycle.
Author's Articles
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.