Patents by Inventor Ameya Sambari

Ameya Sambari 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).

  • CUSTOMIZED RISK RELATIONSHIP USER INTERFACE WORKFLOW
    Publication number: 20240331054
    Abstract: A computer server receives, from a remote user device, information about a new potential risk relationship customer (including at least one new user parameter). Based on the new user parameter, the computer server accesses third-party data and utilizes a stored procedure to read data about the new potential risk relationship customer from an internal table of cloud data. The data read from the internal table is processed to dynamically evolve a schema and create an incremental view of cloud data. The computer server uses the incremental view to read and output a current batch of cloud data. A user interface workflow is then customized via a machine learning algorithm that processes the information about the new potential risk relationship customer, the third-party data, and the current batch of cloud data. A user information data store can then be updated based on information collected via user interface displays.
    Type: Application
    Filed: June 11, 2024
    Publication date: October 3, 2024
    Inventors: Julia M. Feldman, Sara M. Huber, Gopinath Kolanji, Peter F Mello, Kristen Kelly M'Sadoques, Nanda Kishore Nagamalla, Dennis D. Pannella Jr., Karen S. Pavio, Ameya Sambari, Kenneth J. St. Onge, Michael J Stokes, Jessica Taggett
  • Customized risk relationship user interface workflow
    Patent number: 12039607
    Abstract: A computer server receives, from a remote user device, information about a new potential risk relationship customer (including at least one new user parameter). Based on the new user parameter, the computer server accesses third-party data and utilizes a stored procedure to read data about the new potential risk relationship customer from an internal table of cloud data. The data read from the internal table is processed to dynamically evolve a schema and create an incremental view of cloud data. The computer server uses the incremental view to read and output a current batch of cloud data. A user interface workflow is then customized via a machine learning algorithm that processes the information about the new potential risk relationship customer, the third-party data, and the current batch of cloud data. A user information data store can then be updated based on information collected via user interface displays.
    Type: Grant
    Filed: July 16, 2021
    Date of Patent: July 16, 2024
    Assignee: HARTFORD FIRE INSURANCE COMPANY
    Inventors: Julia M. Feldman, Sara M. Huber, Gopinath Kolanji, Peter F Mello, Kristen Kelly M'Sadoques, Nanda Kishore Nagamalla, Dennis D. Pannella, Jr., Karen S. Pavio, Ameya Sambari, Kenneth J. St. Onge, Michael J Stokes, Jessica Taggett
  • CUSTOMIZED RISK RELATIONSHIP USER INTERFACE WORKFLOW
    Publication number: 20230017739
    Abstract: A computer server receives, from a remote user device, information about a new potential risk relationship customer (including at least one new user parameter). Based on the new user parameter, the computer server accesses third-party data and utilizes a stored procedure to read data about the new potential risk relationship customer from an internal table of cloud data. The data read from the internal table is processed to dynamically evolve a schema and create an incremental view of cloud data. The computer server uses the incremental view to read and output a current batch of cloud data. A user interface workflow is then customized via a machine learning algorithm that processes the information about the new potential risk relationship customer, the third-party data, and the current batch of cloud data. A user information data store can then be updated based on information collected via user interface displays.
    Type: Application
    Filed: July 16, 2021
    Publication date: January 19, 2023
    Inventors: Julia M. Feldman, Sara M. Huber, Gopinath Kolanji, Peter F Mello, Kristen Kelly M'Sadoques, Nanda Kishore Nagamalla, Dennis D. Panella, JR., Karen S. Pavio, Ameya Sambari, Kenneth J. St. Onge, Michael J Stokes, Jessica Taggett