Company Filing History:
Years Active: 2018-2025
Title: Helen Kaltegaertner: Innovator in Data Analysis and Visualization
Introduction
Helen Kaltegaertner is a prominent inventor based in New York, NY (US). She has made significant contributions to the field of data analysis and visualization, holding a total of 4 patents. Her work focuses on creating dynamic and interactive user interfaces that enhance the efficiency of data analysis.
Latest Patents
Helen's latest patents include an interactive user interface for dynamically updating data and data analysis and query processing. The systems and methods described in her patent provide highly dynamic and interactive data analysis user interfaces. These interfaces enable data analysts to quickly and efficiently explore large volume data sources. The data analysis system allows users to investigate large volumes of data over various paths of analysis while maintaining detailed and retraceable steps taken during the investigation. This is captured through the user's queries and interactions with the provided user interfaces. The data analysis paths may involve exploring high volume data sets, such as Internet proxy data, which can include trillions of rows. Users can apply filters, join tables in a database, and view interactive data visualizations. The system also enables users to refresh or insert nodes in a workflow, providing data editing, reporting, enrichment, expression language, and charting functionality.
Another notable patent focuses on systems and methods for data analysis and visualization, as well as managing data conflicts. This patent outlines the generation of reports that reflect visualizations of datasets on which data analysis has been performed. The data analysis may aggregate functionalities provided by various applications or tools. Dataset visualization is realized in a workspace implemented by a separate application or tool. Potential conflicts regarding updates to the dataset are reconciled through a dual operational transform system. A global state of the dataset is determined by one operational transform system, while a local state is determined by another. The local state can be updated through operational transforms exchanged between the two systems, aligning the local state with the global state.
Career Highlights
Helen Kaltegaertner is currently employed at Palantir Technologies Inc., where she continues to innovate in the field of data analysis. Her work has significantly impacted how data is visualized and analyzed, making it easier for analysts to derive insights from complex datasets.
Collaborations
Helen collaborates with talented individuals such as Caitlin Colgrove and Gabrielle Javitt, contributing to a dynamic work environment that fosters innovation and