Abstract: A method for receiving an app-use contextual data set, applies artificial intelligence style machine logic to the app-use contextual data in order to generate a recommendation that the app should be subject to a recommended revision, in response to the generation of the recommended revision, makes the recommended revision in a dynamic manner, stores the app-use contextual data set in the form of a plurality of blockchain data structures, and operates around contextual reset/roll-back/restore scenarios in a hybrid cloud environment.

Abstract: In an approach to predicting and managing a collaboration delay, one or more computer processors detect a start of a first collaborative meeting. One or more computer processors identify one or more attendees of the first collaborative meeting. One or more computer processors determine a status of one or more missing participants. Based on the status, one or more computer processors predict a delay duration and a reason for a delay of at least one of the one or more missing participants. Based on the prediction, one or more computer processors determine a first reschedule recommendation for the first collaborative meeting. One or more computer processors present the first reschedule recommendation to the one or more attendees. One or more computer processors reschedule the first collaborative meeting. One or more computer processors notify the one or more attendees of the first collaborative meeting of the reschedule.

Abstract: A method for receiving an app-use contextual data set, applies artificial intelligence style machine logic to the app-use contextual data in order to generate a recommendation that the app should be subject to a recommended revision, in response to the generation of the recommended revision, makes the recommended revision in a dynamic manner, stores the app-use contextual data set in the form of a plurality of blockchain data structures, and operates around contextual reset/roll-back/restore scenarios in a hybrid cloud environment.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises receiving data associated with an initiation of a process; dynamically determining a sequence of a plurality of sub-processes associated with the received data based the initiated process; dynamically prioritizing the determined sequence of the plurality of sub-processes associated with the received data based on an analysis of eligible variations and a pre-stored database of variations associated with each respective sub-process; dynamically performing the process based the prioritized sequence of the plurality of sub-processes associated with the received data; and transmitting a result of the dynamic prioritization of the determined sequence of a plurality of variations to a user interface of another computing device.