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.

The fourth FP&A Board Connect was dedicated to the subject "How to Use Predictive Analytics and Machine Learning for Better Quality Forecast (Janssen Case Study)".

In the first FP&A Board Connect, Takeshi Murakami, Business Manager to CEO/President at Microsoft Japan, a speaker of the second Tokyo FP&A Board, explains how Microsoft achieved remarkable results by using predictive analytics and machine learning in FP&A.