4-5 years ago in Microsoft, Cloud business was a small portion of the overall business, but now is the key business for the company, with new and diverse purchase options like subscription model on office 365, pay as you go model on Azure cloud platform... boosting and creating an avalanche of data every day.

The concepts of artificial intelligence (AI) and machine learning (ML) are not new. They are relatively new to Finance and FP&A leaders, and that means many may have an aversion to leaning more about and leveraging them in delivering value from FP&A. 

The Global Artificial Intelligence / Machine Learning FP&A Committee was created in March 2018 with the aim to see how the latest developments in those technologies can influence modern Financial Planning and Analytics. On the 14^th of November, the Committee held its third meeting. 

Disclaimer: Financial Modelling has no strict “right” or “wrong” method of application. It does, however, have forms of best practice and this what this article attempts to highlight

I was recently invited to join FP&A-Trends’ Artificial Intelligence/Machine Learning (AI/ML) Committee by Larysa Melnychuk, managing director. The AI/ML committee is comprised of finance practitioners and data-management/science experts. This blog is based on the committee’s first two meetings in 2018.

Artificial intelligence (AI) is now becoming a reality in Finance. AI is already impacting our everyday lives – through the adverts we see on Facebook, the shows selected for us on Netflix to the Google automated assistant being able to book meetings for us.