Patents by Inventor Sivasubramanian Arumugam Jalajam

Sivasubramanian Arumugam Jalajam 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: 11620713
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described that enable identifying an insurance information associated with a property, retrieving one or more compliance rules related to the insurance information, automatically determining, based on the one or more compliance rules, whether the insurance information has a compliant status or a non-compliant status, in response to determining that the insurance information has the non-compliant status, processing the insurance information, based on one or more exception rules, to generate an exception waiver including a plurality of waiver parameters, applying the plurality of waiver parameters to a waiver model to determine a waiver confidence score, and based on the waiver confidence score selectively generate an insurance certificate for the property.
    Type: Grant
    Filed: October 5, 2017
    Date of Patent: April 4, 2023
    Assignee: Accenture Global Solutions Limited
    Inventors: Peter Ashly, Srinivasan Krishnan Rajagopalan, Venkatesan Kamalakannan, Anand Yesuraj Prakash, Manikandan Chandran, Thangaraj Paramasivan, Sivasubramanian Arumugam Jalajam, Loganathan Muthu, Vinu Varghese, Kumar Viswanathan
  • Publication number: 20220309332
    Abstract: A system for providing automated and domain specific contextual processing for context based verification may classify a plurality of extracted parameters from a set of digitized training document to assign a document similarity score with respect to a set of reference documents. The system may automatically detect a domain for the set of digitized training documents based on the document similarity score. The system may load a domain based neural model for the detected domain to generate a plurality of pre-defined contextual parameters. The system may receive a set of input documents and perform a contextual processing of the received set of documents based on the pre-defined contextual parameters to obtain an output in form of a plurality of filtered snippets, each bearing a corresponding rank. The context based verification may be performed based on the plurality of filtered snippets and the corresponding rank.
    Type: Application
    Filed: March 23, 2021
    Publication date: September 29, 2022
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Kavita V V GANESHAN, Swati TATA, Soujanya SONI, Madhur BHASINI CHAINI, Anjani KUMARI, Omar RAZI, Thyagarajan DELLI, Ullas Balan NAMBIAR, Guanglei XIONG, Sivasubramanian ARUMUGAM JALAJAM, Srinivasan Krishnan RAJAGOPALAN, Venkatesan KAMALAKANNAN, Harbhajan SINGH
  • Publication number: 20190066221
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, are described that enable identifying an insurance information associated with a property, retrieving one or more compliance rules related to the insurance information, automatically determining, based on the one or more compliance rules, whether the insurance information has a compliant status or a non-compliant status, in response to determining that the insurance information has the non-compliant status, processing the insurance information, based on one or more exception rules, to generate an exception waiver including a plurality of waiver parameters, applying the plurality of waiver parameters to a waiver model to determine a waiver confidence score, and based on the waiver confidence score selectively generate an insurance certificate for the property.
    Type: Application
    Filed: October 5, 2017
    Publication date: February 28, 2019
    Inventors: Peter Ashly, Srinivasan Krishnan Rajagopalan, Venkatesan Kamalakannan, Anand Yesuraj Prakash, Manikandan Chandran, Thangaraj Paramasivan, Sivasubramanian Arumugam Jalajam, Loganathan Muthu, Vinu Varghese, Kumar Viswanathan