We are entering the era of digital FP&A where human and artificial intelligence work hand in hand to achieve better analytical results.
‘If I had an hour to solve a problem and my life depended on the solution, I would spend the first 55 minutes determining the proper question to ask, for once I know the proper question, I could solve the problem in less than five minutes’, said Albert Einstein.
The modern Financial Planning and Analysis (FP&A) function has an important role to play in enhancing decisions through the power of predictive analytics and driver-based modelling.
Currently artificial intelligence (AI) and machine learning (ML) is havi. In terms of accounting and finance, is AI & ML a gift or curse for us? The answer largely depends on two key variables.
There have been not many details about how to get started with a machine learning (ML) project in FP&A. This article will cover the financial forecasting process in companies and how ML can help with it.
As organisations continue to adapt to the world of "Unknown Unknowns", the FP&A role has become increasingly more important. FP&A teams are quickly adapting and developing their new "playbooks" to prepare for the future.
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