Patents by Inventor Arun A. Ayachitula

Arun A. Ayachitula has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12294503
    Abstract: Embodiments relate to providing self-learning automated information technology change risk prediction. A processor inputs a change request to a first machine learning model, the first machine learning model determining at least one word pair in the change request, the change request being a modification in an IT environment. The processor classifies the at least one word pair into a change category for the IT environment using a second machine learning model, the change category identifying a type of the modification to be executed in the IT environment. The processor determines a likelihood of causing a problem in the IT environment as a result of executing the modification. The processor automatically performs an action to prevent the modification of the change request in the IT environment.
    Type: Grant
    Filed: June 8, 2023
    Date of Patent: May 6, 2025
    Assignee: Kyndryl, Inc.
    Inventors: Arun A. Ayachitula, Rohit Khandekar, Upendra Sharma
  • Publication number: 20240414064
    Abstract: Embodiments relate to providing self-learning automated information technology change risk prediction. A processor inputs a change request to a first machine learning model, the first machine learning model determining at least one word pair in the change request, the change request being a modification in an IT environment. The processor classifies the at least one word pair into a change category for the IT environment using a second machine learning model, the change category identifying a type of the modification to be executed in the IT environment. The processor determines a likelihood of causing a problem in the IT environment as a result of executing the modification. The processor automatically performs an action to prevent the modification of the change request in the IT environment.
    Type: Application
    Filed: June 8, 2023
    Publication date: December 12, 2024
    Inventors: Arun A. Ayachitula, Rohit Khandekar, Upendra Sharma
  • Publication number: 20240346283
    Abstract: Embodiments relate to providing explainable classifications with abstention using client agnostic machine learning models. A technique includes classifying, by a processor, a record with a label using a machine learning model, the machine learning model abstaining from classifying a given record in response to the given record being outside of a scope of an information technology (IT) domain. The processor generates an explanation of a decision by the machine learning model to classify the record with the label and displays the explanation in a human readable form.
    Type: Application
    Filed: April 14, 2023
    Publication date: October 17, 2024
    Inventors: Arun A. Ayachitula, Rohit Khandekar, Upendra Sharma
  • Publication number: 20240345905
    Abstract: Embodiments relate to providing explainable classifications with abstention using client agnostic machine learning models. A technique includes inputting, by a processor, records to a machine learning model, the records being associated with an information technology (IT) domain. The technique includes classifying, by the processor, the records with labels using the machine learning model, the machine learning model abstaining from classifying a given record in response to the given record being outside of a scope of the IT domain.
    Type: Application
    Filed: April 14, 2023
    Publication date: October 17, 2024
    Inventors: Arun A. Ayachitula, Rohit Khandekar, Upendra Sharma