1. A computer program product for increasing computer efficiency comprising: one or more non-transitory computer-readable storage media and program instructions stored on at least one of the one or more non-transitory computer-readable storage media, the program instructions comprising: program instructions to reduce conflicts in computing tasks by: determining that a user is attempting to execute an unscheduled computing task; estimating a length of time of execution for the unscheduled computing task; determining that a virtual training event is scheduled to execute while the unscheduled computing task is executing, wherein the virtual training event is scheduled to be executed automatically, wherein the virtual training event is an event scheduled in a calendar program; based, at least in part, on the determination that the unscheduled computing task will still be executing when the virtual training event starts executing, warning the user that the unscheduled computing task will be executing when the virtual training event begins executing; start, automatically, the virtual training event; estimating a utilization of processing and a memory consumption for the unscheduled computing task and the started virtual training event; determining whether the utilization of processing and the memory consumption for the unscheduled computing task and the started virtual training event exceed a threshold; in response to the determination that the threshold will be exceeded, warning the user that the threshold will be exceeded; analyzing the unscheduled computing task and the started virtual training event for first identifying attributes; searching a database for one or more stored computing tasks that have second identifying attributes; identifying a predictive correlation between at least one of the first identifying attributes and at least one of the second identifying attributes, estimate, via the predictive correlation, the utilization of processing and the memory consumption and wherein the first identifying attributes and the second identifying attributes include a file size, a file type, and a program language used, and the length of time of execution for the unscheduled computing task and the started virtual training event; store the estimation of the predictive correlation for subsequent use of the unscheduled computing task and the virtual training event.