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. 

As the 4th Industrial revolution makes sizeable impacts on our lives through various sectors like taxis/ride sharing, accommodation, banking, investing and transaction processing etc a group of finance professionals are not just sitting back and watching as this unfolds before them.

This is the second part of a three-part series that focuses on the business value that data science & analytics can provide to enterprises.
 

I was recently invited to join FP&A-Trends’ Artificial Intelligence/Machine Learning (AI/ML) Committee by Larysa Melnychuk, managing director. This blog is based on a case study presented at the June 2018 meeting.