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 has been not a lot of 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. 

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)".

Many of us have heard about promise of predictive analytics (PA) in machine learning (ML). Over 50% of organisations think that data science and ML are critical for success. At the same time, less than 20% of finance teams are deploying data science today. Why did this happen?

Without a doubt, the effects of AI on the global economy are jaw-dropping. But how does that affect the FP&A sector? Do we need to worry about the rise of artificial intelligence?  

Imagine you’re a train dispatcher tasked with making hundreds of trains run smoothly every day. They must go through an interconnected network where trains run in a sequence and can’t just pass each other along the route. Suddenly a delay occurs on one of the trains because a door won’t close properly. What do you do?