Cash flow prediction with Timeseries Forecasting using Azure Machine Learning

Mihai Tătăran - General Manager @ Avaelgo

Europa room

10th November, 11:30-12:00

Predicting Balance Sheet items and Cash Flow is a major challenge for today's CFOs around the world, and it became exceptionally important during a cataclysmic event like the Coronavirus pandemic. They have been struggling with such topics for years, and most of the implementations we've seen are something very naïve like extrapolating on past data.

In this session I will show how to approach such a timeseries prediction project (setup, tools, methodology), what are the common obstacles you need to surpass (data integrity and format, interpreting data, choosing what data to consider and how), how to run models training at scale using AutoML and when and what to customize for better prediction.

This presentation is based on the work we've done for a few large enterprise customers (Oil&Gas and other industries), helping them predict Balance Sheet items and Cash Flow.

Mihai Tătăran


Mihai Tataran is the General Manager of Avaelgo, a Microsoft Gold Partner on Cloud Platform, a software consulting and custom development company based in Romania, and an MVP on Microsoft Azure. Lately Mihai had an extensive experience with Azure: completed solutions for different customers, and delivering the training programs on Azure for IT companies in Romania. One of those projects made it to a Case Study on Microsoft .com website, and his company Avaelgo was nominated as Cloud SME of the Month in Europe in May 2012. Mihai is also the co-organizer of ITCamp Romania (http://itcamp.ro), a large community event for IT professionals in Transylvania.