Predicting Work Items instead of Converting them
I often see talk about using the Convert Work Item tasks (IR -> SR, SR-> IR). But what I don't see is discussion using Azure Machine Learning to predict Work Item types, Classifications, Support Groups, Assignees, Impacted Config Items, etc.
With ML, there would be less (if any) of a need to convert Work Items because they
- would be the correct type out of the gate
- would save you time because every work item could now be routed faster and thus potentially resolved faster
- would provide a new and improved degree of consistency in reporting
So why not use ML?
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