Cognitive learning workflow execution
Abstract:
Technical solutions are described for machine-assisted workflow execution, the workflow includes a sequence of workflow steps. An example method includes, pulling a preliminary update for the workflow from a data source and modifying the workflow dynamically. The method further includes selecting a workflow step for execution, and responsively, pulling updated information for the workflow step from the data source. The method further includes retrieving, from the data source, first reasoning information being indicative of whether to update the workflow step. If the first reasoning information is indicative of performing an update, updating the workflow step dynamically using the updated information, and executing the updated workflow step. The method further includes accumulating execution information including attributes of the execution of the workflow step, and second reasoning information for the updating of the workflow step, and pushing the execution information to the data source upon completion of the workflow step.
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