While automation has eliminated many repetitive tasks, the next step for FP&A is to develop advanced analytics capabilities.

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.