Patents by Inventor Likhitha Maddirala

Likhitha Maddirala 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).

  • Prioritization and prediction of jobs using cognitive rules engine
    Patent number: 11755926
    Abstract: A method, computer system, and a computer program product for data pipeline prioritization is provided. Embodiments may include receiving, by a cognitive rules engine, one or more data pipelines. Embodiments may then include analyzing, using a computational method of the cognitive rules engine, the one or more data pipelines. Embodiments may lastly include prioritizing the one or more data pipelines based on a result of the computational method of the cognitive rules engine.
    Type: Grant
    Filed: February 28, 2019
    Date of Patent: September 12, 2023
    Assignee: International Business Machines Corporation
    Inventors: Ritesh Kumar Gupta, Namit Kabra, Likhitha Maddirala, Eric Allen Jacobson, Scott Louis Brokaw, Jo Ramos
  • Deep data classification using governance and machine learning
    Patent number: 11455321
    Abstract: A method of data classification includes: identifying a cluster of data classes; classifying columns of a current data set; identifying the cluster in the current data set; determining, based on the cluster, an expected column is missing from the current data set; determining a neighboring data set; identifying the expected column in the neighboring data set; classifying the expected column in the neighboring data set; creating a new data class in the current data set; and classifying an unclassified column in the current data set or the neighboring data set with the new data class.
    Type: Grant
    Filed: March 19, 2020
    Date of Patent: September 27, 2022
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Neerju Neerju, Kunjavihari Madhav Kashalikar, Namit Kabra, Likhitha Maddirala
  • DEEP DATA CLASSIFICATION USING GOVERNANCE AND MACHINE LEARNING
    Publication number: 20210294817
    Abstract: A method of data classification includes: identifying a cluster of data classes; classifying columns of a current data set; identifying the cluster in the current data set; determining, based on the cluster, an expected column is missing from the current data set; determining a neighboring data set; identifying the expected column in the neighboring data set; classifying the expected column in the neighboring data set; creating a new data class in the current data set; and classifying an unclassified column in the current data set or the neighboring data set with the new data class.
    Type: Application
    Filed: March 19, 2020
    Publication date: September 23, 2021
    Inventors: Neerju Neerju, Kunjavihari Madhav Kashalikar, Namit Kabra, Likhitha Maddirala
  • Data and memory reorganization
    Patent number: 11017874
    Abstract: A method and system for improving data and memory reorganization and storage technology is provided. The method includes configuring data capture and analysis settings of a database system resulting in configured data capture settings. A data and associated memory analysis request is received and specified test code is selected. A specified portion of data and associated memory is selected and the specified analysis code is executed resulting in execution of said specified type of analysis with respect to the specified portion of said data and associated memory. The specified portion of said data and associated memory is modified and stored.
    Type: Grant
    Filed: May 3, 2019
    Date of Patent: May 25, 2021
    Assignee: International Business Machines Corporation
    Inventors: Yannick Saillet, Namit Kabra, Likhitha Maddirala, Ritesh Kumar Gupta
  • DATA AND MEMORY REORGANIZATION
    Publication number: 20200350032
    Abstract: A method and system for improving data and memory reorganization and storage technology is provided. The method includes configuring data capture and analysis settings of a database system resulting in configured data capture settings. A data and associated memory analysis request is received and specified test code is selected. A specified portion of data and associated memory is selected and the specified analysis code is executed resulting in execution of said specified type of analysis with respect to the specified portion of said data and associated memory. The specified portion of said data and associated memory is modified and stored.
    Type: Application
    Filed: May 3, 2019
    Publication date: November 5, 2020
    Inventors: Yannick Saillet, Namit Kabra, Likhitha Maddirala, Ritesh Kumar Gupta
  • DATA PIPELINE PRIORITIZATION AND PREDICTION
    Publication number: 20200279173
    Abstract: A method, computer system, and a computer program product for data pipeline prioritization is provided. Embodiments may include receiving, by a cognitive rules engine, one or more data pipelines. Embodiments may then include analyzing, using a computational method of the cognitive rules engine, the one or more data pipelines. Embodiments may lastly include prioritizing the one or more data pipelines based on a result of the computational method of the cognitive rules engine.
    Type: Application
    Filed: February 28, 2019
    Publication date: September 3, 2020
    Inventors: Ritesh Kumar Gupta, Namit Kabra, Likhitha Maddirala, Eric Allen Jacobson, Scott Louis Brokaw, Jo Ramos