Patents by Inventor Helen Kaltegaertner

Helen Kaltegaertner 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: 11269914
    Abstract: Systems and methods are provided for generating reports reflecting a visualization of, e.g., a dataset on which data analysis has been performed. The data analysis performed on the dataset may be an aggregation of data analysis functionality provided by applications or tools. Dataset visualization is realized in a workspace implemented by a separate application or tool. Potential conflicts regarding updating one or more elements of the dataset are reconciled by implementing a dual operational transform system and method. A global state of the dataset may be determined by a first operational transform system and method, while a local state of the dataset may be determined by a second operational transform system and method. The local state of the dataset may be updated through operational transforms exchanged between the first and second operational transform systems that align the local state of the dataset with the global state of the dataset.
    Type: Grant
    Filed: May 26, 2020
    Date of Patent: March 8, 2022
    Assignee: Palantir Technologies Inc.
    Inventors: Caitlin Colgrove, Andrew Moreland, Alexander Taheri, Benjamin Hamme, Bianca Rahill-Marier, John Carrino, Dzmitry Dulko, Gabrielle Javitt, Helen Kaltegaertner, Joshua Chomicki, Josh Munsch, Jacob Sanches, Mark Schafer, Walker Burgin, Xiaohan Zhang
  • Publication number: 20200285651
    Abstract: Systems and methods are provided for generating reports reflecting a visualization of, e.g., a dataset on which data analysis has been performed. The data analysis performed on the dataset may be an aggregation of data analysis functionality provided by applications or tools. Dataset visualization is realized in a workspace implemented by a separate application or tool. Potential conflicts regarding updating one or more elements of the dataset are reconciled by implementing a dual operational transform system and method. A global state of the dataset may be determined by a first operational transform system and method, while a local state of the dataset may be determined by a second operational transform system and method. The local state of the dataset may be updated through operational transforms exchanged between the first and second operational transform systems that align the local state of the dataset with the global state of the dataset.
    Type: Application
    Filed: May 26, 2020
    Publication date: September 10, 2020
    Inventors: Caitlin Colgrove, Andrew Moreland, Alexander Taheri, Benjamin Hamme, Bianca Rahill-Marier, John Carrino, Dzmitry Dulko, Gabrielle Javitt, Helen Kaltegaertner, Joshua Chomicki, Josh Munsch, Jacob Sanches, Mark Schafer, Walker Burgin, Xiaohan Zhang
  • Patent number: 10706068
    Abstract: Systems and methods are provided for generating reports reflecting a visualization of, e.g., a dataset on which data analysis has been performed. The data analysis performed on the dataset may be an aggregation of data analysis functionality provided by applications or tools. Dataset visualization is realized in a workspace implemented by a separate application or tool. Potential conflicts regarding updating one or more elements of the dataset are reconciled by implementing a dual operational transform system and method. A global state of the dataset may be determined by a first operational transform system and method, while a local state of the dataset may be determined by a second operational transform system and method. The local state of the dataset may be updated through operational transforms exchanged between the first and second operational transform systems that align the local state of the dataset with the global state of the dataset.
    Type: Grant
    Filed: February 2, 2018
    Date of Patent: July 7, 2020
    Assignee: Palantir Technologies Inc.
    Inventors: Caitlin Colgrove, Andrew Moreland, Alexander Taheri, Benjamin Hamme, Bianca Rahill-Marier, John Carrino, Dzmitry Dulko, Gabrielle Javitt, Helen Kaltegaertner, Joshua Chomicki, Josh Munsch, Jacob Sanches, Mark Schafer, Walker Burgin, Xiaohan Zhang
  • Publication number: 20190012356
    Abstract: Systems and methods are provided for generating reports reflecting a visualization of, e.g., a dataset on which data analysis has been performed. The data analysis performed on the dataset may be an aggregation of data analysis functionality provided by applications or tools. Dataset visualization is realized in a workspace implemented by a separate application or tool. Potential conflicts regarding updating one or more elements of the dataset are reconciled by implementing a dual operational transform system and method. A global state of the dataset may be determined by a first operational transform system and method, while a local state of the dataset may be determined by a second operational transform system and method. The local state of the dataset may be updated through operational transforms exchanged between the first and second operational transform systems that align the local state of the dataset with the global state of the dataset.
    Type: Application
    Filed: February 2, 2018
    Publication date: January 10, 2019
    Inventors: Caitlin Colgrove, Andrew Moreland, Alexander Taheri, Benjamin Hamme, Bianca Rahill-Marier, John Carrino, Dzmitry Dulko, Gabrielle Javitt, Helen Kaltegaertner, Joshua Chomicki, Josh Munsch, Jacob Sanches, Mark Schafer, Walker Burgin, Xiaohan Zhang
  • Patent number: 10095763
    Abstract: Systems and methods are provided for generating reports reflecting a visualization of, e.g., a dataset on which data analysis has been performed. The data analysis performed on the dataset may be an aggregation of data analysis functionality provided by applications or tools. Dataset visualization is realized in a workspace implemented by a separate application or tool. Potential conflicts regarding updating one or more elements of the dataset are reconciled by implementing a dual operational transform system and method. A global state of the dataset may be determined by a first operational transform system and method, while a local state of the dataset may be determined by a second operational transform system and method. The local state of the dataset may be updated through operational transforms exchanged between the first and second operational transform systems that align the local state of the dataset with the global state of the dataset.
    Type: Grant
    Filed: September 15, 2017
    Date of Patent: October 9, 2018
    Assignee: Palantir Technologies Inc.
    Inventors: Caitlin Colgrove, Andrew Moreland, Alexander Taheri, Benjamin Hamme, Bianca Rahill-Marier, John Carrino, Dzmitry Dulko, Gabrielle Javitt, Helen Kaltegaertner, Joshua Chomicki, Josh Munsch, Jacob Sanches, Mark Schafer, Walker Burgin, Xiaohan Zhang
  • Publication number: 20180039399
    Abstract: The systems and methods described herein provide highly dynamic and interactive data analysis user interfaces which enable data analysts to quickly and efficiently explore large volume data sources. The data analysis system enables the user to investigate large volumes of data over many different paths of analysis while maintaining detailed and retraceable steps taken by the user over the course of an investigation, as captured via the user's queries and user interaction with the user interfaces provided by the data analysis system. Data analysis paths may involve exploration of high volume data sets, such as Internet proxy data, which may include trillions of rows of data. The data analyst may pursue a data analysis path that involves, among other things, applying filters, joining to other tables in a database, viewing interactive data visualizations, and so on. The data analysis system enables a user to refresh or insert a node in a workflow.
    Type: Application
    Filed: October 13, 2017
    Publication date: February 8, 2018
    Inventors: Helen Kaltegaertner, Alexandru Antihi, Brandon Krieger, Caitlin Colgrove, Diran Li, Gabrielle Javitt, Gregory O'Connor, Mark Schafer, Mark Elliot, Maria Franco, Matthew Lynch, Punyashloka Biswal, Phillip Chen, Sander Kromwijk, Shannon Scott, Stephanie Yu, Walker Burgin