Based upon the outcome of a particular algorithm from ML, we can trigger certain actions to remediate or fix the problems. In the world of AI, this terminology is often referred to as Robotic Process Automation (RPA).
RPA is the use of software or programs, leveraging ML capabilities to handle high-volume, repeatable tasks that require manual efforts to perform. These tasks can include queries, transactions, or even remediation based upon the decision or action resulting from ML.
A script that can be triggered to perform a certain action is part of the RPA framework, which is eventually called by the decision that was taken through data analytics performed in the ML phase. One key aspect of this is that for certain ...
