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Part 2: Implementation Guidance on Azure Machine Learning Service for Demand Forecasting | April 20, 2022


Presenters: 

Anne Krupke – Senior R&D Solution Architect

Nikhil Paldhikar – Senior R&D Solution Architect

Toby James – Senior R&D Solution Architect

Andrey Garmash – Senior Software Engineer

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This TechTalk will cover the new Azure Machine Learning Service for generating a Demand Forecast in Dynamics 365 Supply Chain Management. Topics covered include overview of Azure Machine Learning service, navigation of Azure Machine Learning studio, setting up a Machine Learning experiment, extensibility, troubleshooting, and implementation guidance for this functionality. For more information on this topic, please reference the following link: Demand forecasting overview – Supply Chain Management | Dynamics 365 | Microsoft Docs

Download Presentation (pdf)

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DTT057EXT

Demand Forecasting with Azure Machine Learning Series

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Do you have suggestions for additional features or other ideas?  Please visit https://experience.dynamics.com/ideas/ to share and vote!



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