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 Tataran is the General Manager of Avaelgo, he is also a Microsoft MVP on Microsoft Azure and Microsoft Regional Director. During the last years Mihai has been working on building Avaelgo's Managed Services business, now being an award-winning Microsoft Gold Partner on Cloud Platform. His main focus is designing products and services on top of the Cloud, helping the Sales processes and also working as a consultant on enterprise projects. Mihai is regular speaker at international conferences: DevReach in Bulgaria, Codecamp Macedonia, Microsoft TechEd, Microsoft Summit; he is also involved in organizing ITCamp Romania.
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