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.
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:
Author's Articles
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.
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: