This blog explains how FP&A can utilise Artificial Intelligence (AI) to make a data-driven forecast of Account Receivables by examining historical invoices and payment data.
July 8, 2020
By Ashok Manthena, Product Manager at Gap
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.
Ashok Manthena
Ashok Manthena has been working in Finance & systems for 10 years. He has published numerous articles and papers on how corporate finance can use artificial intelligence to increase efficacy and speed.
Strong finance professional graduated from The University of Akron.
Author's Articles
November 22, 2021
This blog explains how FP&A can utilise Artificial Intelligence (AI) to make a data-driven forecast of Account Receivables by examining historical invoices and payment data.
July 8, 2020
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.