Patents by Inventor Michael Baccala

Michael Baccala 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: 11470068
    Abstract: Systems and methods for securely storing data for efficient access by cloud-based computing instances is provided. In one or more examples, a computing hub can receive one or more access requests to data stored within a persistent data storage computing resources that in connected to the computing hub. The computing hub can be configured to determine if the access request is from an authorized computing resource, and can then generate one or more tokens that provide access to the computing resource. The one or more tokens can include information regarding the IP address of the requesting cloud-based computing resource, and each time that the cloud-based computing resource uses the token to request access to the stored data, the computing hub can check the IP address of the computing resource against the IP address indicated on the token to decide whether or not to grant access to the data.
    Type: Grant
    Filed: May 13, 2020
    Date of Patent: October 11, 2022
    Assignee: PricewaterhouseCoopers LLP
    Inventors: Praveen Vasireddy, Sriraj Kadimisetty, Michael Flynn, Michael Baccala, Vinod K. Kandepi, Shiva Sadula
  • Publication number: 20200364093
    Abstract: Systems and methods for generating secure ephemeral cloud-based computing resources for data operations is provided. In one or more examples, a computing hub can receive a data set as well as one or more business process instructions from an external entity. In response to receiving the data set and business process instructions, the computing hub can create one or more containers within a persistent data storage computing resource and store the data set in the one or more containers. The computing hub can generate one or more cloud-based computing resources on one or more cloud-based computing resource platforms based on the received business processes. The computing hub can be configured to arbitrate access to the stored data set from the generated cloud-based computing resources and can be also configured to track lineage information of the data set as it is process by the one or more cloud-based computing resources.
    Type: Application
    Filed: May 13, 2020
    Publication date: November 19, 2020
    Applicant: PricewaterhouseCoopers LLP
    Inventors: Praveen VASIREDDY, Sriraj KADIMISETTY, Michael FLYNN, Michael BACCALA, Divya ALIGI REDDY, Avinash PALLAPU
  • Publication number: 20200366660
    Abstract: Systems and methods for securely storing data for efficient access by cloud-based computing instances is provided. In one or more examples, a computing hub can receive one or more access requests to data stored within a persistent data storage computing resources that in connected to the computing hub. The computing hub can be configured to determine if the access request is from an authorized computing resource, and can then generate one or more tokens that provide access to the computing resource. The one or more tokens can include information regarding the IP address of the requesting cloud-based computing resource, and each time that the cloud-based computing resource uses the token to request access to the stored data, the computing hub can check the IP address of the computing resource against the IP address indicated on the token to decide whether or not to grant access to the data.
    Type: Application
    Filed: May 13, 2020
    Publication date: November 19, 2020
    Applicant: PricewaterhouseCoopers LLP
    Inventors: Praveen VASIREDDY, Sriraj KADIMISETTY, Michael FLYNN, Michael BACCALA, Vinod K. KANDEPI, Shiva SADULA
  • Publication number: 20200125630
    Abstract: Described are system, method, and computer-program product embodiments for performing language-agnostic page stream segmentation. In some embodiments, a method includes receiving a multi-page file associated with a plurality of documents. A plurality of characters present on each page of the set of consecutive pages, including a first page and a second page, of the multi-page file can be detected. A plurality of structural data for each page can be computed based on a position and a font format for one or more of the detected characters. The plurality of structural data between the first page and the second page can be compared to determine whether the second page corresponds to a boundary between two documents of the plurality of documents. The multi-page file can be segmented at the second page in response to determining that the second page corresponds to the boundary.
    Type: Application
    Filed: December 5, 2019
    Publication date: April 23, 2020
    Applicant: PricewaterhouseCoopers LLP
    Inventors: Abhishek SANGHAVI, Michael FLYNN, Joseph HARRINGTON, Michael BACCALA
  • Patent number: 10534846
    Abstract: Described are system, method, and computer-program product embodiments for performing language-agnostic page stream segmentation. In some embodiments, a method includes receiving a multi-page file associated with a plurality of documents. A plurality of characters present on each page of the set of consecutive pages, including a first page and a second page, of the multi-page file can be detected. A plurality of structural data for each page can be computed based on a position and a font format for one or more of the detected characters. The plurality of structural data between the first page and the second page can be compared to determine whether the second page corresponds to a boundary between two documents of the plurality of documents. The multi-page file can be segmented at the second page in response to determining that the second page corresponds to the boundary.
    Type: Grant
    Filed: June 7, 2019
    Date of Patent: January 14, 2020
    Assignee: PricewaterhouseCoopers LLP
    Inventors: Abhishek Sanghavi, Michael Flynn, Joseph Harrington, Michael Baccala