Patents by Inventor KEVIN W. DIVINCENZO

KEVIN W. DIVINCENZO 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: 11947989
    Abstract: A process flow for model-based applications, including: receiving data from one or more data sources; applying at least one first transformation on at least a portion of the data to generate transformed input data encoded according to a predefined format; providing the transformed input data to an executed instance of a model facilitating a prediction associated with the data; and exposing access to application data based on an output associated with the model.
    Type: Grant
    Filed: February 16, 2021
    Date of Patent: April 2, 2024
    Assignee: SPARKCOGNITION, INC.
    Inventors: Eugene Von Niederhausern, Sreenivasa Gorti, Kevin W. Divincenzo, Sridhar Sudarsan
  • Patent number: 11675614
    Abstract: Standardized model packaging and deployment, including: generating a model package comprising: model definition data for a model; function code facilitating execution of the model; and at least one interface for at least one operating system.
    Type: Grant
    Filed: February 16, 2021
    Date of Patent: June 13, 2023
    Assignee: SPARKCOGNITION, INC.
    Inventors: Eugene Von Niederhausern, Sreenivasa Gorti, Kevin W. DiVincenzo, Sridhar Sudarsan
  • Publication number: 20210255839
    Abstract: Standardized model packaging and deployment, including: generating a model package comprising: model definition data for a model; function code facilitating execution of the model; and at least one interface for at least one operating system.
    Type: Application
    Filed: February 16, 2021
    Publication date: August 19, 2021
    Inventors: EUGENE VON NIEDERHAUSERN, SREENIVASA GORTI, KEVIN W. DIVINCENZO, SRIDHAR SUDARSAN
  • Publication number: 20210255886
    Abstract: Distributed model execution, including: identifying, for each model of a plurality of models, based on one or more execution constraints for the plurality of models, a corresponding node of a plurality of nodes, wherein the plurality of nodes each comprise one or more computing devices or one or more virtual machines; deploying each model of the plurality of models to the identified corresponding node of the plurality of nodes; and wherein the plurality of models are configured to generate, based on data input to at least one model of the plurality of models, a prediction associated with the data.
    Type: Application
    Filed: February 16, 2021
    Publication date: August 19, 2021
    Inventors: EUGENE VON NIEDERHAUSERN, SREENIVASA GORTI, KEVIN W. DIVINCENZO, SRIDHAR SUDARSAN
  • Publication number: 20210256000
    Abstract: A process flow for model-based applications, including: receiving data from one or more data sources; applying at least one first transformation on at least a portion of the data to generate transformed input data encoded according to a predefined format; providing the transformed input data to an executed instance of a model facilitating a prediction associated with the data; and exposing access to application data based on an output associated with the model.
    Type: Application
    Filed: February 16, 2021
    Publication date: August 19, 2021
    Inventors: EUGENE VON NIEDERHAUSERN, SREENIVASA GORTI, KEVIN W. DIVINCENZO, SRIDHAR SUDARSAN