What is the easiest A.I. Stack to deploy end to end ? Amazon? Google? IBM Watson ? The use case is to feed unstructured text and analyze a process looking for efficiency gains. There are the following kinds of information to feed: -call recordings (audio only) -call recordings (Audio and video) -emails (including replies) -meta data like time between process steps Which A.I. Stack can easily consume, analyze, and provide insights out-of-the-box?
Azure
Self hosted -> kubeflow -> CMLE -> AutoML -> ML APIs This is the chain of easiness of doing ML. With ML APIs you just concentrate on results and you get what you get. No modifications allowed. For AutoML, you get the algorithm free but need to tune it and use the model yourself. Below that , you basically own the data and algorithms but can abstract away the hardware management. Depends on your use case, all the options are valid depending on how much flexibility you need at the cost of maintenance overhead.
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At what scale? Ie how many users u expect per hour or per day?