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.
By Ashok Manthena, Founder of ChatFin
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.
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?