Demand Forecasting with Azure Machine Learning Service in Dynamics 365 Supply Chain Management Series

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Series overview This two-part series will cover the Forecasting functionality available in Dynamics 365 Supply Chain Management and Azure Machine Learning Services. Part 1 will cover the functional setup and process in Dynamics and best practices for implementing this functionality. Part 2 will cover the implementation guidance and best practices for the Azure Machine Learning Service for forecasting. For additional information on this topic, please reference the following link: Demand forecasting overview - Supply Chain Management | Dynamics 365 | Microsoft Docs Presented by: Anne Krupke, Senior Program Manager, Microsoft Nikhil Paldhikar, Senior R&D Solution Architect, Microsoft Toby James, Senior R&D Solution Architect, Microsoft

Register for the web conference series This web conference series are virtual events and are being offered live at two separate times to accommodate various time zones and busy schedules.  The Presenters will cover the same topics at each session; please attend the one that best fits your schedule.

Series Registration URL: https://aka.ms/Demand_Forecasting_with_Azure_Series_Registration Session 1 Title: Intro to Demand Forecasting in Dynamics 365 Supply Chain Management Date: April 6, 2022 Time: 8:00 AM – 9:00 AM + 3:00 PM – 4:00 PM Pacific time Session 2 Title: Implementation Guidance on Azure Machine Learning Service for Demand Forecasting Date: April 13, 2022 Time: 8:00 AM – 9:00 AM + 3:00 PM – 4:00 PM Pacific time Click here to calculate your local time. Watch later This session will be recorded. The recording will be available on the Tech Talks Dynamics Community Page within 5 business days post event. Be sure to register even if you are unable to attend the live event. This will ensure that you receive the post-session email messaging which will include details on how to access the recording and any available session materials.

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