Abstract: Technical solutions are described for execution of a machine-assisted workflow, the workflow including 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, pulling an updated information for the workflow step from the data source and modifying the workflow step dynamically using the updated information. The method further includes retrieving, from the data source, first preview information, the first preview information indicative of previews of one or more operations from the updated workflow step. The method further includes to the first preview information, executing the updated workflow step. The method further includes accumulating execution information including second preview information based on the execution and pushing the execution information to the data source upon completion of the workflow step.

Abstract: A system and method of automating software fix installation rate management for a software package including two or more hierarchical levels include obtaining information from two or more customer systems. The information indicates software fixes installed at each of the two or more customer systems. The method also includes generating a report corresponding with each of the two or more customer systems. The report indicates a number of the software fixes installed at the respective one of the two or more customer systems as compared with an average number of the software fixes installed at the two or more customer systems at one of the two or more hierarchical levels. Determining whether to increase, decrease, or maintain a rate of installation of the software fixes at each of the two or more customer systems is based on the report corresponding with each of the two or more customer systems.

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.

Abstract: Technical solutions are described for a machine-assisted workflow execution. An example method includes selecting a workflow for interactive execution, the workflow includes a sequence of workflow steps, and responsively, identifying a preliminary update for the workflow from a data source. The method further includes authenticating the data source, and if the data source is a trusted data source, pulling the preliminary update from the data source and modifying the workflow dynamically. The method further includes selecting a workflow step for execution, and responsively, pulling an updated information for the workflow step from the data source. The method further includes executing the workflow step using the pulled updated information, the execution including changing a target system. The method further includes accumulating execution information and pushing the execution information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for machine-assisted workflow execution. An example method includes selecting a workflow for interactive execution, the workflow including a sequence of workflow steps. The method further 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 from the workflow for execution, and pulling updated information for the workflow step from the data source. The method further includes executing the workflow step using the pulled updated information, the execution includes changing a target system. The method further includes accumulating execution information including attributes associated with execution of the workflow step, and pushing the execution information to the data source upon completion of the workflow step.

Abstract: A system and method of automating software fix installation rate management for a software package including two or more hierarchical levels include obtaining information from two or more customer systems. The information indicates software fixes installed at each of the two or more customer systems. The method also includes generating a report corresponding with each of the two or more customer systems. The report indicates a number of the software fixes installed at the respective one of the two or more customer systems as compared with an average number of the software fixes installed at the two or more customer systems at one of the two or more hierarchical levels. Determining whether to increase, decrease, or maintain a rate of installation of the software fixes at each of the two or more customer systems is based on the report corresponding with each of the two or more customer systems.

Abstract: Technical solutions are described for execution of a machine-assisted workflow, the workflow including 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, pulling an updated information for the workflow step from the data source and modifying the workflow step dynamically using the updated information. The method further includes retrieving, from the data source, first preview information, the first preview information indicative of previews of one or more operations from the updated workflow step. The method further includes to the first preview information, executing the updated workflow step. The method further includes accumulating execution information including second preview information based on the execution and pushing the execution information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for execution of a machine-assisted workflow, the workflow including 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, pulling an updated information for the workflow step from the data source and modifying the workflow step dynamically using the updated information. The method further includes retrieving, from the data source, first preview information, the first preview information indicative of previews of one or more operations from the updated workflow step. The method further includes to the first preview information, executing the updated workflow step. The method further includes accumulating execution information including second preview information based on the execution and pushing the execution information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for interactively executing a workflow that includes multiple 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, and pulling updated information from the data source and modifying the workflow step dynamically. Further, the method includes retrieving, from the data source, first results information, indicative of results of executing the updated workflow step by other users, and based on the first results information, executing the updated workflow step. The method further includes accumulating a second results information based on the execution of the workflow step. Further, the execution includes pushing the second results information to the data source upon completion of the workflow step.

Abstract: Embodiments of the invention are directed to methods for recommending software updates for a computer system. The method includes receiving a request to find software updates from a requesting computer system. The method further includes analyzing specifications of the requesting computer system and determining similar computer systems. The method further includes determining a subset of software updates for recommendation based on the determination. The method further includes presenting the subset to the requesting computer system.

Abstract: Embodiments of the invention are directed to methods for recommending software updates for a computer system. The method includes receiving a request to find software updates from a requesting computer system. The method further includes analyzing specifications of the requesting computer system and determining similar computer systems. The method further includes determining a subset of software updates for recommendation based on the determination. The method further includes presenting the subset to the requesting computer system.

Abstract: Technical solutions are described for machine-assisted workflow execution. An example method includes selecting a workflow for interactive execution, the workflow including a sequence of workflow steps. The method further 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 from the workflow for execution, and pulling updated information for the workflow step from the data source. The method further includes executing the workflow step using the pulled updated information, the execution includes changing a target system. The method further includes accumulating execution information including attributes associated with execution of the workflow step, and pushing the execution information to the data source upon completion of the workflow step.

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.

Abstract: Technical solutions are described for interactively executing a workflow that includes multiple 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, and pulling updated information from the data source and modifying the workflow step dynamically. Further, the method includes retrieving, from the data source, first results information, indicative of results of executing the updated workflow step by other users, and based on the first results information, executing the updated workflow step. The method further includes accumulating a second results information based on the execution of the workflow step. Further, the execution includes pushing the second results information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for execution of a machine-assisted workflow, the workflow including 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, pulling an updated information for the workflow step from the data source and modifying the workflow step dynamically using the updated information. The method further includes retrieving, from the data source, first preview information, the first preview information indicative of previews of one or more operations from the updated workflow step. The method further includes to the first preview information, executing the updated workflow step. The method further includes accumulating execution information including second preview information based on the execution and pushing the execution information to the data source upon completion of the workflow step.

Abstract: Technical solutions are described for a machine-assisted workflow execution. An example method includes selecting a workflow for interactive execution, the workflow includes a sequence of workflow steps, and responsively, identifying a preliminary update for the workflow from a data source. The method further includes authenticating the data source, and if the data source is a trusted data source, pulling the preliminary update from the data source and modifying the workflow dynamically. The method further includes selecting a workflow step for execution, and responsively, pulling an updated information for the workflow step from the data source. The method further includes executing the workflow step using the pulled updated information, the execution including changing a target system. The method further includes accumulating execution information and pushing the execution information to the data source upon completion of the workflow step.