Patents by Inventor Geoffrey Stowe

Geoffrey Stowe 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).

  • Publication number: 20200334236
    Abstract: A system and method for processing data wherein one or more user selections of source data and an input defining one or more operations to be performed on the selected source data are received to generate processed data for display as a chart; the source data is retrieved from at least one data source, the source data is processed according to the defined one or more operations to generate processed data for output for display as a chart, the chart is stored as data defining the one or more operations and data identifying the source data operated on, a further user selection is received to redisplay the chart; retrieving the source data from the at least one data source; and the source data is processed according to the defined one or more operations to generate the processed data for output for redisplay as the chart.
    Type: Application
    Filed: July 2, 2020
    Publication date: October 22, 2020
    Inventors: Geoffrey Stowe, John McRaven, Andrew Pettit, Lucas Lemanowicz, Benedict Cappellacci, Arjun Mathur, Jonathan Victor, Nabeel Qureshi, Anshuman Prasad, Joy Tao, Mikhail Proniushkin, Casey Patton
  • Publication number: 20200304522
    Abstract: In various embodiments, systems, methods, and techniques are disclosed for generating a collection of clusters of related data from a seed. Seeds may be generated based on seed generation strategies or rules. Clusters may be generated by, for example, retrieving a seed, adding the seed to a first cluster, retrieving a clustering strategy or rules, and adding related data and/or data entities to the cluster based on the clustering strategy. Various cluster scores may be generated based on attributes of data in a given cluster. Further, cluster metascores may be generated based on various cluster scores associated with a cluster. Clusters may be ranked based on cluster metascores. Various embodiments may enable an analyst to discover various insights related to data clusters, and may be applicable to various tasks including, for example, tax fraud detection, beaconing malware detection, malware user-agent detection, and/or activity trend detection, among various others.
    Type: Application
    Filed: June 11, 2020
    Publication date: September 24, 2020
    Inventors: Harkirat Singh, Geoffrey Stowe, Brendan Weickert, Matthew Sprague, Michael Kross, Adam Borochoff, Parvathy Menon, Michael Harris
  • Patent number: 10740344
    Abstract: A system and method for processing data wherein one or more user selections of source data and an input defining one or more operations to be performed on the selected source data are received to generate processed data for display as a chart; the source data is retrieved from at least one data source, the source data is processed according to the defined one or more operations to generate processed data for output for display as a chart, the chart is stored as data defining the one or more operations and data identifying the source data operated on, a further user selection is received to redisplay the chart; retrieving the source data from the at least one data source; and the source data is processed according to the defined one or more operations to generate the processed data for output for redisplay as the chart.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: August 11, 2020
    Assignee: Palantir Technologies Inc.
    Inventors: Geoffrey Stowe, John McRaven, Andrew Pettit, Lucas Lemanowicz, Benedict Cappellacci, Arjun Mathur, Jonathan Victor, Nabeel Qureshi, Anshuman Prasad, Joy Tao, Mikhail Proniushkin, Casey Patton
  • Publication number: 20200159725
    Abstract: A system and method for processing data wherein one or more user selections of source data and an input defining one or more operations to be performed on the selected source data are received to generate processed data for display as a chart; the source data is retrieved from at least one data source, the source data is processed according to the defined one or more operations to generate processed data for output for display as a chart, the chart is stored as data defining the one or more operations and data identifying the source data operated on, a further user selection is received to redisplay the chart; retrieving the source data from the at least one data source; and the source data is processed according to the defined one or more operations to generate the processed data for output for redisplay as the chart.
    Type: Application
    Filed: December 19, 2019
    Publication date: May 21, 2020
    Inventors: Geoffrey Stowe, John McRaven, Andrew Pettit, Lucas Lemanowicz, Benedict Cappellacci, Arjun Mathur, Jonathan Victor, Nabeel Qureshi, Anshuman Prasad, Joy Tao, Mikhail Proniushkin, Casey Patton
  • Patent number: 10552436
    Abstract: A system and method for processing data wherein one or more user selections of source data and an input defining one or more operations to be performed on the selected source data are received to generate processed data for display as a chart; the source data is retrieved from at least one data source, the source data is processed according to the defined one or more operations to generate processed data for output for display as a chart, the chart is stored as data defining the one or more operations and data identifying the source data operated on, a further user selection is received to redisplay the chart; retrieving the source data from the at least one data source; and the source data is processed according to the defined one or more operations to generate the processed data for output for redisplay as the chart.
    Type: Grant
    Filed: December 22, 2017
    Date of Patent: February 4, 2020
    Assignee: Palantir Technologies Inc.
    Inventors: Geoffrey Stowe, John McRaven, Andrew Pettit, Lucas Lemanowicz, Benedict Cappellacci, Arjun Mathur, Jonathan Victor, Nabeel Qureshi, Anshuman Prasad, Joy Tao, Mikhail Proniushkin, Casey Patton
  • Publication number: 20190384747
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Application
    Filed: August 22, 2019
    Publication date: December 19, 2019
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Patent number: 10423582
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Grant
    Filed: November 28, 2017
    Date of Patent: September 24, 2019
    Assignee: Palantir Technologies, Inc.
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Publication number: 20180181629
    Abstract: A system and method for processing data wherein one or more user selections of source data and an input defining one or more operations to be performed on the selected source data are received to generate processed data for display as a chart; the source data is retrieved from at least one data source, the source data is processed according to the defined one or more operations to generate processed data for output for display as a chart, the chart is stored as data defining the one or more operations and data identifying the source data operated on, a further user selection is received to redisplay the chart; retrieving the source data from the at least one data source; and the source data is processed according to the defined one or more operations to generate the processed data for output for redisplay as the chart.
    Type: Application
    Filed: December 22, 2017
    Publication date: June 28, 2018
    Inventors: Geoffrey Stowe, John McRaven, Andrew Pettit, Lucas Lemanowicz, Benedict Cappellacci, Arjun Mathur, Jonathan Victor, Nabeel Qureshi, Anshuman Prasad, Joy Tao, Mikhail Proniushkin, Casey Patton
  • Publication number: 20180081896
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Application
    Filed: November 28, 2017
    Publication date: March 22, 2018
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Patent number: 9852144
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Grant
    Filed: March 1, 2017
    Date of Patent: December 26, 2017
    Assignee: Palantir Technologies, Inc.
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Publication number: 20170177606
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Application
    Filed: March 1, 2017
    Publication date: June 22, 2017
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Patent number: 9639578
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Grant
    Filed: December 7, 2015
    Date of Patent: May 2, 2017
    Assignee: Palantir Technologies, Inc.
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Publication number: 20160085817
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Application
    Filed: December 7, 2015
    Publication date: March 24, 2016
    Inventors: GEOFFREY STOWE, CHRIS FISCHER, PAUL GEORGE, ELI BINGHAM, ROSCO HILL
  • Patent number: 9208159
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Grant
    Filed: August 4, 2014
    Date of Patent: December 8, 2015
    Assignee: PALANTIR TECHNOLOGIES, INC.
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Publication number: 20140344231
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Application
    Filed: August 4, 2014
    Publication date: November 20, 2014
    Inventors: GEOFFREY STOWE, CHRIS FISCHER, PAUL GEORGE, ELI BINGHAM, ROSCO HILL
  • Patent number: 8799240
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Grant
    Filed: June 23, 2011
    Date of Patent: August 5, 2014
    Assignee: Palantir Technologies, Inc.
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Publication number: 20120330908
    Abstract: A data analysis system is proposed for providing fine-grained low latency access to high volume input data from possibly multiple heterogeneous input data sources. The input data is parsed, optionally transformed, indexed, and stored in a horizontally-scalable key-value data repository where it may be accessed using low latency searches. The input data may be compressed into blocks before being stored to minimize storage requirements. The results of searches present input data in its original form. The input data may include access logs, call data records (CDRs), e-mail messages, etc. The system allows a data analyst to efficiently identify information of interest in a very large dynamic data set up to multiple petabytes in size. Once information of interest has been identified, that subset of the large data set can be imported into a dedicated or specialized data analysis system for an additional in-depth investigation and contextual analysis.
    Type: Application
    Filed: June 23, 2011
    Publication date: December 27, 2012
    Inventors: Geoffrey Stowe, Chris Fischer, Paul George, Eli Bingham, Rosco Hill
  • Patent number: D816338
    Type: Grant
    Filed: May 31, 2016
    Date of Patent: May 1, 2018
    Assignee: WHS Trading Australia Pty Ltd
    Inventors: Robert Geoffrey Stowe, Steve Turner
  • Patent number: D817221
    Type: Grant
    Filed: May 31, 2016
    Date of Patent: May 8, 2018
    Assignee: WHS Trading Australia Pty Ltd
    Inventors: Robert Geoffrey Stowe, Steve Turner