The best thing that i like is the ease of integration with R and Python. We can develop machine learning models in any of these and deploy production ready models to Azure.
What do you dislike?
One of the elements that i most dislike is the support to salesforce is not present. We cannot deploy the API to read and write data from salesforce. We need to bring in SQL Server into the mix and then upload the data from Sql Server to salesforce. This just adds additional maintanance layer.
Recommendations to others considering the product
This mainly allows easier integration to other platforms.
What business problems are you solving with the product? What benefits have you realized?
We use Azure machine learning solutions to deploy production ready machine learning algorithms created using R server. Ease of maintenance and deployment helps us to integrate our solutions across different platforms such as salesforce and CRM.
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