Patents by Inventor Harsh Vardhan Vashistha

Harsh Vardhan Vashistha 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).

  • Related content identification for different types of machine-generated data
    Patent number: 11636160
    Abstract: A system can display content generated from one type of machine-generated data to a user via a graphical user interface. Based on an interaction with the machine-generated data, the system can determine an entity identifier associated with the machine-generated data and determine an entity type for the entity identifier. The system can map the entity type to one or more content generators associated with the entity type and communicate the entity identifier to the identified content generators. The content generators can determine if they have content associated with the machine-generated data. The system can generate and display a link to the related content via a graphical user interface.
    Type: Grant
    Filed: January 6, 2022
    Date of Patent: April 25, 2023
    Assignee: Splunk Inc.
    Inventors: Amy Katherine Hunnel Bianchi, Sonya Chang, Park Kittipatkul, Patrick Lin, Sarah Matarese, Clark Mullen, Alexandra Victoria Nuttbrown, Danika Patrick, Justin Smith, Harsh Vardhan Vashistha
  • RELATED CONTENT IDENTIFICATION FOR DIFFERENT TYPES OF MACHINE-GENERATED DATA
    Publication number: 20220277042
    Abstract: A system can display content generated from one type of machine-generated data to a user via a graphical user interface. Based on an interaction with the machine-generated data, the system can determine an entity identifier associated with the machine-generated data and determine an entity type for the entity identifier. The system can map the entity type to one or more content generators associated with the entity type and communicate the entity identifier to the identified content generators. The content generators can determine if they have content associated with the machine-generated data. The system can generate and display a link to the related content via a graphical user interface.
    Type: Application
    Filed: January 6, 2022
    Publication date: September 1, 2022
    Inventors: Amy Katherine Hunnel Bianchi, Sonya Chang, Park Kittipatkul, Patrick Lin, Sarah Matarese, Clark Mullen, Alexandra Victoria Nuttbrown, Danika Patrick, Justin Smith, Harsh Vardhan Vashistha
  • Related content identification for different types of machine-generated data
    Patent number: 11250069
    Abstract: A system can display content generated from one type of machine-generated data to a user via a graphical user interface. Based on an interaction with the machine-generated data, the system can determine an entity identifier associated with the machine-generated data and determine an entity type for the entity identifier. The system can map the entity type to one or more content generators associated with the entity type and communicate the entity identifier to the identified content generators. The content generators can determine if they have content associated with the machine-generated data. The system can generate and display a link to the related content via a graphical user interface.
    Type: Grant
    Filed: October 16, 2020
    Date of Patent: February 15, 2022
    Assignee: Splunk Inc.
    Inventors: Amy Katherine Hunnel Bianchi, Sonya Chang, Park Kittipatkul, Patrick Lin, Sarah Matarese, Clark Mullen, Alexandra Victoria Nuttbrown, Danika Patrick, Justin Smith, Harsh Vardhan Vashistha