Patents by Inventor Juan Sequeda

Juan Sequeda 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: 20250131358
    Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, based on graph-based data arrangements, among other things, and, more specifically, to a computing platform configured to generate configurable automation templates and automation executable programs that automate workflows based on process models to effectuate automated data governance of datasets, including graph-based data stored in one or more graphs, such as a knowledge graph, a data catalog, etc., whereby in at least one example, automated workflows can provide automatic enrichment of datasets, such as multi-layered knowledge graph data that may include data catalog data.
    Type: Application
    Filed: October 23, 2023
    Publication date: April 24, 2025
    Applicant: data.world, Inc.
    Inventors: Nancy Prabhakar, Olga Fink, Jona Fenocchi, Marc Lebrun, Shad Reynolds, Juan Sequeda, Andrew Katz, Jon Loyens, Bryon Jacob
  • Patent number: 11947529
    Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and data-driven control systems and algorithms based on graph-based data arrangements, and, more specifically, to a computing platform configured to receive and analyze datasets to implement a data model with which to identify relevant data catalog data derived from graph-based data arrangements, whereby a processor may be configured to cause implementation of subsets of programmatic executable instructions based on relevant data catalog data, at least one example of which generates a concept interface portion adapted to an associated concept, among other things. In some examples, a method may include identifying attributes associated with data values linked to a conceptual entity, determining criteria data of a targeted application, selecting programmatic executable instructions based on the criteria data, and extracting data from a graph data arrangement as a function of the attributes, among other things.
    Type: Grant
    Filed: March 29, 2022
    Date of Patent: April 2, 2024
    Assignee: data.world, Inc.
    Inventors: Tim Gasper, Juan Sequeda, Lydia Guarino, Sharon Brener, Jessica Lin
  • Publication number: 20220327119
    Abstract: Various embodiments relate generally to data science and data analysis, computer software and systems, and data-driven control systems and algorithms based on graph-based data arrangements, and, more specifically, to a computing platform configured to receive and analyze datasets to implement a data model with which to identify relevant data catalog data derived from graph-based data arrangements, whereby a processor may be configured to cause implementation of subsets of programmatic executable instructions based on relevant data catalog data, at least one example of which generates a concept interface portion adapted to an associated concept, among other things. In some examples, a method may include identifying attributes associated with data values linked to a conceptual entity, determining criteria data of a targeted application, selecting programmatic executable instructions based on the criteria data, and extracting data from a graph data arrangement as a function of the attributes, among other things.
    Type: Application
    Filed: March 29, 2022
    Publication date: October 13, 2022
    Applicant: data.world, Inc.
    Inventors: Tim Gasper, Juan Sequeda, Lydia Guarino, Sharon Brener, Jessica Lin