D365FO and Azure Machine learning ML for Demand Forecasting - part 1 Prerequisites

This blog is part one of three series blog

Prerequisites to make available

• Open Azure Machine Learning experiment from the link: http://aka.ms/dynamicsax7-demandforecasting .
  sign in to Azure Machine Learning Studio.

  https://gallery.azure.ai/Experiment/Dynamics-Ax7-demand-forecasting-29

• Create your project by copying the experiment from public library to your workspace

• Save and Run and Deploy opened experiment as a web service after the service status shows finished running.

• Copy 'API key' from web service properties page and paste it to 'Web service API key' control in D365FO - Demand forecasting parameters form

• Open request response help page from web service properties page and copy endpoint address to Paste it to 'Web service endpoint address' control in D365FO Demand forecasting parameters form

Note that you should only copy the base URL without any parameters. The expected format of the endpoint address is https://{region}.services.azureml.net/workspaces/{guid}/services/{guid}

*Remove extra parameters

Happy D365FO