Patents by Inventor Karthik Thiyagarajan

Karthik Thiyagarajan 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: 11615156
    Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR INSIGHT DISCOVERY AND PRESENTATION FROM STRUCTURED AND UNSTRUCTURED DATA (“IDAP”) provides a platform that, in various embodiments, is configurable to identify, display, and act upon insights derived from large volumes of data. In one embodiment, the IDAP is configurable to determine values and relationships for primal data. Identified relationships may be leveraged to build queries optimized for efficient data access across data volumes. The IDAP may also be configured to identify drivers of global metrics of interest, leverage those drivers to discern the efficacy of media and/or advertising campaigns, and provide recommendations to improve and/or optimize campaign efficacy.
    Type: Grant
    Filed: January 8, 2020
    Date of Patent: March 28, 2023
    Assignee: Quantifind, Inc.
    Inventors: Ari Tuchman, John Stockton, Lance Rutter, Aakash Sabharwal, Karthik Thiyagarajan, Ryan LeCompte, Andrew Steele
  • Publication number: 20200142939
    Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR INSIGHT DISCOVERY AND PRESENTATION FROM STRUCTURED AND UNSTRUCTURED DATA (“IDAP”) provides a platform that, in various embodiments, is configurable to identify, display, and act upon insights derived from large volumes of data. In one embodiment, the IDAP is configurable to determine values and relationships for primal data. Identified relationships may be leveraged to build queries optimized for efficient data access across data volumes. The IDAP may also be configured to identify drivers of global metrics of interest, leverage those drivers to discern the efficacy of media and/or advertising campaigns, and provide recommendations to improve and/or optimize campaign efficacy.
    Type: Application
    Filed: January 8, 2020
    Publication date: May 7, 2020
    Inventors: Ari Tuchman, John Stockton, Lance Rutter, Aakash Sabharwal, Karthik Thiyagarajan, Ryan LeCompte, Andrew Steele
  • Patent number: 10558719
    Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR INSIGHT DISCOVERY AND PRESENTATION FROM STRUCTURED AND UNSTRUCTURED DATA (“IDAP”) provides a platform that, in various embodiments, is configurable to identify, display, and act upon insights derived from large volumes of data. In one embodiment, the IDAP is configurable to determine values and relationships for primal data. Identified relationships may be leveraged to build queries optimized for efficient data access across data volumes. The IDAP may also be configured to identify drivers of global metrics of interest, leverage those drivers to discern the efficacy of media and/or advertising campaigns, and provide recommendations to improve and/or optimize campaign efficacy.
    Type: Grant
    Filed: December 9, 2015
    Date of Patent: February 11, 2020
    Assignee: Quantifind, Inc.
    Inventors: Ari Tuchman, John Stockton, Lance Rutter, Aakash Sabharwal, Karthik Thiyagarajan, Ryan LeCompte, Andrew Steele
  • Publication number: 20160162588
    Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR INSIGHT DISCOVERY AND PRESENTATION FROM STRUCTURED AND UNSTRUCTURED DATA (“IDAP”) provides a platform that, in various embodiments, is configurable to identify, display, and act upon insights derived from large volumes of data. In one embodiment, the IDAP is configurable to determine values and relationships for primal data. Identified relationships may be leveraged to build queries optimized for efficient data access across data volumes. The IDAP may also be configured to identify drivers of global metrics of interest, leverage those drivers to discern the efficacy of media and/or advertising campaigns, and provide recommendations to improve and/or optimize campaign efficacy.
    Type: Application
    Filed: December 9, 2015
    Publication date: June 9, 2016
    Inventors: Ari Tuchman, John Stockton, Lance Rutter, Aakash Sabharwal, Karthik Thiyagarajan, Ryan LeCompte, Andrew Steele
  • Patent number: 9183203
    Abstract: The GENERALIZED DATA MINING AND ANALYTICS APPARATUSES, METHODS AND SYSTEMS (“GDMA”), in various embodiments, may identify statistical relationships among query terms by analyzing a corpus of electronic documents. Inputs may be automatically generated automatically and/or user provided. In one embodiment, a method includes: accessing a term tensor associated with at least one term in a corpus of documents, wherein the term tensor comprises a plurality of data type vectors corresponding respectively to a plurality of term-correlated data types correlated with the at least one term in the corpus and each data type vector comprising a plurality of binned data type values with corresponding weighted occurrence values derived from the corpus; providing at least one of the plurality of term-correlated data types for selectable display; receiving at least one term-correlated data type selection; and providing data type values associated with the at least one term-correlated data type selection for display.
    Type: Grant
    Filed: October 4, 2011
    Date of Patent: November 10, 2015
    Assignee: Quantifind, Inc.
    Inventors: Ari Tuchman, Yaron Galant, Erich Nachbar, John Stockton, Karthik Thiyagarajan