International Business Machines Corporation

Kyndryl, Inc.

Victoria Lee Guerra

Larisa Shwartz

Victor Rafael Herrero

Jinho Hwang

John Robert Davis

Amitkumar Manoharrao Paradkar

Jose Rizaldy Dela Pena Coronel

Jose Rizaldy Coronel

Cynthia R Cook

Clifford Vernon Harris

Zachary J Conway Peterson

Denise Ann Bennett

A method of information technology (IT) asset management includes using a mesh network to report IT asset management data and receiving the IT asset management data from the mesh network at a collection server.

System and method for managing IT asset inventories using low power, short range network technologies

A cognitive automation engine receives notice that an unexpected event has occurred in a computing environment. The engine tries to address any resulting problems by running a previously generated automation script, customizing the script as required through cognitive means. If this fails, the engine forwards the script to a human expert for customization. In either case, the engine records any customization activities, extracts parameters from the recording that identify each customization step, cognitively assigns a level of risk to each step based on historical precedent, and determines whether running the customized script presents an unacceptable risk of adverse results. The system adds the revisions, other script-related information, and any results of running the revised script Loin a training corpus. The corpus is then incorporated into a machine-learning procedure that teaches the automation engine how to more intelligently customize a script the next time a similar event occurs.

Machine-trainable automated-script customization

Systems, computer-implemented methods and/or computer program products that facilitate protecting data security through hierarchical authorization analysis are provided. In one embodiment, a computer-implemented method comprises generating, by a system operatively coupled to a processor, a model by extracting properties of data transmitted from executing an application to learn repeated patterns; and performing, by the system, a fine-grained authorization audit by comparing the data with the model.

Protecting data security with hierarchical authorization analysis

A technique relates to computer artifacts in a computer system. The technique includes creating a list of insights from artifacts, determining a similarity level between the insights of the artifacts and a predefined area of capability, comparing similarity level of insights for each of the artifacts to a threshold metric, removing artifacts having the similarity level below threshold metric such that artifacts remaining meet the threshold metric, and performing a pair-wise similarity comparison on the artifacts remaining which compares insights of the artifacts to each other to determine which ones are least common. The technique includes creating feature vectors for artifacts that are least common, determining a feature vector having a most variation in feature vectors, an artifact associated with the feature vector being determined to comprise a unique insight, and generating a unique message using the artifact associated with the feature vector being the unique insight.

Computer structures for computer artifacts

Embodiments are directed to computer-implemented methods of operating a monitoring host of a performance management infrastructure. The method includes receiving, using natural language processing (NLP) algorithms, training data that includes operational data and functionality data. The operational data represents natural language descriptions of performance problems identified for an application computer program running a computing system. The functionality data represents natural language descriptions of functional capabilities of the application computer program. The NLP algorithms and a classifier are used to extract features of the training data. The extracted features are used to build a semantic correlation model that includes correlated data sets, wherein each of the correlated data sets includes functionality data and operational data having a semantic correlation to functionality data. One of the correlated data sets is selected and used to create an application monitoring algorithm configured to submit requests to and receive responses from the application computer program.

Identifying application software performance problems using automated content-based semantic monitoring

Systems and methods for performing self-healing tasks using information technology management data are disclosed. In aspects, a computer-implemented method of the invention comprises: storing alert data indicating that an alert condition has been detected at a client data center, the alert data including a monitoring situation; performing a matching function to determine whether the monitoring situation matches an assigned monitoring situation or is an unassigned monitoring situation; determining that the monitoring situation is unassigned; sending a ticket including a list of virtual engineers to the client data center; detecting a ticket update in a ticket database, the ticket update including an assignment of one of the virtual engineers to the monitoring situation; updating a monitoring situation database to include the assignment of the one of the virtual engineers; and initiating the one of the virtual engineers to resolve the monitoring situation.

Growing community of inventors

Yorktown Heights, NY, United States of America

Victoria Lee Guerra