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 14th of November, the Committee held its third meeting.
By Mohammed Hussain, Finance Manager at Builder.AI
Mohammed is an advocate for clean financial modelling and process automation. His key function is "modern" problem solving by blending traditional Excel techniques with BI as a visualisation tool. He strives to produce models that are transparent and easily understood by the end user. This is achieved through efficient Workbook and Worksheet design, and VBA.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.