Computer simulations allow us to play out various scenarios repeatedly and assess the outcomes. It is also true for computer simulations that are used in finance. Through scenario analysis, we can gain some comfort and assurance that the decision taken is the right one given the circumstances. However, there are a few considerations with the use of artificial intelligence (AI).
FP&A Digitalisation was discussed at several FP&A Boards in the past but the recent mindset shift has changed the perspective. It went from anxiety before the implementation to peace of mind in fully controlling the processes and confidence in the quality of provided FP&A insights.
This article summarises the presentations and discussions during the recent Digital FP&A Circle on how artificial intelligence (AI) and machine learning (ML) has reduced the process burden, increased the speed to insights, and ultimately supported improved decision-making at Konica Minolta and Amazon.
On the 6th of October, I had the pleasure of hosting the Second Digital Pan-Asian FP&A Board. We had six insightful presentations that are summarized in this article.
The modern Financial Planning and Analysis (FP&A) function has an important role to play in enhancing decisions through the power of predictive analytics and driver-based modelling.
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.