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05-06-21
11:05 AM
Status:
New
In a dynamic environment, the RPA process can be failed for any reason and this would create a lot of the problem for the RPA team as well as the end-user. To mitigate the risk, the availability of the right resource at that time would be required. In this use case, we will be having an AI model that can predict the next process failure time via the control room logs. The control room log would work as the input for the model and will return the next failure of the process as an output.
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