Patents by Inventor Sanjay Podder

Sanjay Podder 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: 20210326372
    Abstract: In some examples, human centered computing based digital persona generation may include generating, for a digital persona that is to be generated for a target person, synthetic video files and synthetic audio files that are combined to generate synthetic media files. The digital persona may be generated based on a synthetic media file. An inquiry may be received from a user of the generated digital persona. Another synthetic media file may be used by the digital persona to respond to the inquiry. A real-time emotion of the user may be analyzed based on a text sentiment associated with the inquiry, and a voice sentiment and a facial expression associated with the user. Based on the real-time emotion of the user, a further synthetic media file may be utilized by the digital persona to continue or modify a conversation between the generated digital persona and the user.
    Type: Application
    Filed: April 5, 2021
    Publication date: October 21, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Nisha RAMACHANDRA, Manish Ahuja, Raghotham M Rao, Neville Dubash, Sanjay Podder, Rekha M. Menon
  • Patent number: 11102006
    Abstract: In some examples, Blockchain intelligent security implementation may include determining whether a Blockchain transaction has been initiated, generating, based on a determination that the Blockchain transaction has been initiated, a password, and storing the generated password. The stored password may be forwarded to a user associated with the Blockchain transaction. A further password may be received from the user associated with the Blockchain transaction, and validated, based on comparison of the stored password to the further password. Based on the validation of the further password, the Blockchain transaction may be processed.
    Type: Grant
    Filed: January 25, 2019
    Date of Patent: August 24, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Nikhil Chandrakant Khedkar, Neville Dubash, Sanjay Podder, Prashant Sahadev Sawant
  • Patent number: 11093307
    Abstract: A device may receive first information that identifies an input associated with a virtual agent application executing on a user device. The virtual agent application may provide an interface for a project involving a plurality of user devices. The device may determine, based on the first information that identifies the input, a first response based on second information. The device may determine, based on at least one of the first information that identifies the input or the first response and without user input, a second response. The device may provide, to the virtual agent application of the user device, fourth information that identifies at least one of the first response or the second response.
    Type: Grant
    Filed: April 13, 2017
    Date of Patent: August 17, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Roshni Ramesh Ramnani, Harshawardhan Madhukar Wabgaonkar, Shubhashis Sengupta, Sanjay Podder, Neville Dubash, Tirupal Rao Ravilla, Sumitraj Ganapat Patil, Rakesh Thimmaiah, Priyavanshi Pathania, Reeja Jose, Chaitra Hareesh
  • Publication number: 20210224588
    Abstract: In some examples, recruitment process graph based unsupervised anomaly detection may include obtaining log data associated with a recruitment process for a plurality of candidates, and generating knowledge graphs and graph embeddings. The graph embeddings may be trained to include a plurality of properties such that graph embeddings of genuine candidate hires and fraudulent candidate hires are appropriately spaced in a vector space. The trained graph embeddings may be clustered to generate a plurality of embedding clusters that include a genuine candidate cluster, and a fraudulent candidate cluster. For a new candidate graph embedding for a new candidate, a determination may be made as to whether the new candidate graph embedding belongs to the genuine candidate cluster, to the fraudulent candidate cluster, or to an anomalous cluster, and instructions may be generated to respectively retain or suspend the new candidate.
    Type: Application
    Filed: January 19, 2021
    Publication date: July 22, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Samarth SIKAND, Venkatesh Subramanian, Neville Dubash, Sanjay Podder
  • Publication number: 20210224679
    Abstract: In some implementations, an advisor system may receive a description of a problem to be solved and problem data identifying quantum computing-related and classical computing-related problems. The advisor system may perform natural language processing on the description of the problem and the problem data to respectively generate a problem embedding vector for the problem and to generate embedding vectors that represent the quantum computing-related and classical computing-related problems. The advisor system may process the problem embedding vector and the embedding vectors, with a vector matching model, to determine a semantically closest matching one of the embedding vectors to the problem embedding vector and, accordingly, may generate a recommendation that includes an indication to solve the problem with a classical computing resource, a quantum computing resource, or a combination of a classical computing resource and a quantum computing resource.
    Type: Application
    Filed: November 30, 2020
    Publication date: July 22, 2021
    Inventors: Janardan MISRA, Vikrant S. KAULGUD, Sanjay PODDER, Rupesh KASLAY
  • Publication number: 20210224298
    Abstract: In some examples, data classification and modelling based application compliance analysis may include generating, for application data for an application, and based on data laws, a knowledge graph schema that is used to generate an instantiated knowledge graph. Based on a plurality of data sources, domain knowledge and patterns, and the instantiated knowledge graph, classified data may be generated to generate an annotated knowledge graph. Based on the annotated knowledge graph, an indication of applicable sovereign laws and compliance related to the application data for the application may be generated. Based on the annotated knowledge graph and the applicable sovereign laws and compliance related to the application data for the application, a sovereign cloud strategy related to the application data for the application may be generated. Further, the sovereign cloud strategy may be applied to the application data for the application.
    Type: Application
    Filed: November 20, 2020
    Publication date: July 22, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Kapil SINGI, Vikrant KAULGUD, Sanjay PODDER, Adam Patten BURDEN, Swapnajeet GON CHOUDHURY, Rambhau EKNATH ROTE
  • Patent number: 11062142
    Abstract: In some examples, natural language unification based robotic agent control may include ascertaining, by a robotic agent, an image of an object or an environment, and ascertaining a plurality of natural language insights for the image. A semantic relatedness may be determined between each insight of the plurality of insights, and a semantic relatedness graph may be generated for the plurality of insights. For each insight of the plurality of insights, at least one central concept may be identified. Based on the semantic relatedness graph and the identified at least one central concept, the plurality of insights may be clustered to generate at least one insights cluster. For insights included in the least one insights cluster, a unified insight may be generated. Further, an operation associated with the robotic agent, the object, or the environment may be controlled by the robotic agent and based on the unified insight.
    Type: Grant
    Filed: June 27, 2018
    Date of Patent: July 13, 2021
    Assignee: ACCENTURE GOBAL SOLUTIONS LIMITED
    Inventors: Janardan Misra, Sanjay Podder, Divya Rawat, Bhaskar Ghosh, Neville Dubash
  • Publication number: 20210191987
    Abstract: In some examples, natural language dialogue system perturbation testing may include identifying semantic segments for conversation data for a natural dialogue system. For each semantic segment, a perturbed variant that includes a perturbation may be generated, and forwarded to the natural dialogue system. An updated response to the perturbed variant may be obtained from the natural dialogue system. A semantic similarity may be determined between an original response to a semantic segment and the updated response, and based on the semantic similarity between the original response and the updated response, a perturbability of the natural dialogue system may be determined. A determination may be made as to whether the perturbability of the natural dialogue system is greater than a specified perturbability threshold, and if so, a training corpus that includes a failed response to a perturbed variant may be utilized to train the natural dialogue system.
    Type: Application
    Filed: December 19, 2019
    Publication date: June 24, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan MISRA, Narendranath SUKHAVASI, Sanjay PODDER
  • Patent number: 11044096
    Abstract: A device may obtain information identifying a base application. The device may extract a set of sub-application artifacts associated with the base application based on structural information associated with the base application. The device may define a set of metadata attributes associated with the set of sub-application artifacts associated with the base application. The device may generate a set of hash tuples for the set of metadata attributes associated with the set of sub-application artifacts associated with the base application. The device may generate a base composite identity of the base application based on the set of hash tuples. The device may store the base composite identity in a blockchain and in connection with storage of the base application in the blockchain to enable subsequent identification and verification of the base application.
    Type: Grant
    Filed: April 16, 2019
    Date of Patent: June 22, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Kapil Singi, Swapnajeet Gon Choudhury, Vikrant S. Kaulgud, Jagadeesh Chandra Bose Rantham Prabhakara, Sanjay Podder, Adam Patten Burden
  • Patent number: 11043040
    Abstract: In some examples, extended reality based positive affect implementation for product development may include determining, for a user wearing or utilizing a device, characteristics and an environment of the user. Based on the characteristics and the environment of the user, a plurality of augmentation elements may be determined. A recommendation of a plurality of augmentation elements from the determined plurality of augmentation elements may be generated. Based on selection of an augmentation element from the recommended plurality of augmentation elements, the augmentation element may be rendered in an extended environment and/or an immediate environment of the user. Interaction of the user may be controlled with the rendered augmentation element. Feedback of the user may be analyzed with respect to the rendered augmentation element.
    Type: Grant
    Filed: May 19, 2020
    Date of Patent: June 22, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Rohit Mehra, Vibhu Saujanya Sharma, Vikrant Kaulgud, Sanjay Podder, Adam Patten Burden
  • Publication number: 20210166080
    Abstract: In some implementations, a device may receive a machine learning model to be tested. The device may process the machine learning model, with generalization testing methods, to determine generalization which identifies responsiveness of the machine learning model to varying inputs. The device may process the machine learning model, with robustness testing methods, to determine robustness which identifies responsiveness of the machine learning model to improper inputs. The device may process the machine learning model, with an interpretability testing method, to determine decisions of the machine learning model. The device may calculate a score for the machine learning model based on the generalization data, the robustness data, and the interpretability data. The device may perform one or more actions based on the score for the machine learning model.
    Type: Application
    Filed: December 1, 2020
    Publication date: June 3, 2021
    Inventors: Sanjay PODDER, Neville DUBASH, Nisha RAMACHANDRA, Raghotham M. RAO, Manish AHUJA, Samarth SIKAND
  • Patent number: 10997470
    Abstract: Systems, apparatuses, and methods are directed towards identifying that an adversarial patch image includes a plurality of pixels. The systems, apparatuses, and methods include dividing the adversarial patch image into a plurality of blocks, that each include a different group of the pixels in which the pixels are contiguous to each other, and assigning a first plurality of colors to the plurality of blocks to assign only one of the first plurality of colors to each pixel of one of the plurality of blocks.
    Type: Grant
    Filed: August 30, 2019
    Date of Patent: May 4, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Manish Ahuja, Samarth Sikand, Anurag Dwarakanath, Sanjay Podder
  • Publication number: 20210103854
    Abstract: In some examples, machine learning based semantic structural hole identification may include mapping each text element of a plurality of text elements of a corpus into an embedding space that includes embeddings that are represented as vectors. A semantic network may be generated based on semantic relatedness between each pair of vectors. A boundary enclosure of the embedding space may be determined, and points to fill the boundary enclosure may be generated. Based on an analysis of voidness for each point within the boundary enclosure, a set of void points and void regions may be identified. Semantic holes may be identified for each void region, and utilized to determine semantic porosity of the corpus. A performance impact may be determined between utilization of the corpus to generate an application by using the text elements without filling the semantic holes and the text elements with the semantic holes filled.
    Type: Application
    Filed: October 7, 2019
    Publication date: April 8, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan MISRA, Sanjay PODDER
  • Patent number: 10949765
    Abstract: A device may receive a first sample. The device may identify a plurality of second samples that are similar to the first sample. The plurality of second samples may correspond to service tickets that have previously been processed. The device may obtain or determine log information identifying a plurality of events associated with the first sample. The device may determine respective probabilities of occurrence corresponding to the plurality of second samples. A probability of occurrence, for a particular second sample, may identify a likelihood of receiving a corresponding service ticket within a particular time period of occurrence of the plurality of events. The device may assign ranks to the plurality of second samples based on the respective probabilities of occurrence. The device may provide information identifying the ranks and the plurality of second samples.
    Type: Grant
    Filed: September 14, 2017
    Date of Patent: March 16, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Pradeepkumar Duraisamy Soundrapandian, Shrikanth Narayanaswamy Chandrasekaran, Aditya Bhola, Venkatesh Subramanian, Vikrant S. Kaulgud, Sanjay Podder
  • Publication number: 20210064938
    Abstract: Systems, apparatuses, and methods are directed towards identifying that an adversarial patch image includes a plurality of pixels. The systems, apparatuses, and methods include dividing the adversarial patch image into a plurality of blocks, that each include a different group of the pixels in which the pixels are contiguous to each other, and assigning a first plurality of colors to the plurality of blocks to assign only one of the first plurality of colors to each pixel of one of the plurality of blocks.
    Type: Application
    Filed: August 30, 2019
    Publication date: March 4, 2021
    Applicant: Accenture Global Solutions Limited
    Inventors: Manish Ahuja, Samarth Sikand, Anurag Dwarakanath, Sanjay Podder
  • Patent number: 10922654
    Abstract: A device may receive information regarding a software environment and/or one or more modules associated with the software environment; receive information regarding one or more compliance requirements; determine one or more smart contracts based on the information regarding the one or more compliance requirements and the information regarding the software environment and/or the one or more modules associated with the software environment; obtain data regarding the software environment and/or the one or more modules; determine, using the one or more smart contracts, whether the data satisfies the one or more compliance requirements; and add at least part of a block, to a blockchain, to indicate whether the data satisfies the one or more compliance requirements, for realization of a reward or penalty associated with the one or more compliance requirements.
    Type: Grant
    Filed: January 31, 2018
    Date of Patent: February 16, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Kapil Singi, Vikrant S. Kaulgud, Sanjay Podder, Afsal Marattil, Pradeepkumar Duraisamy Soundrapandian
  • Publication number: 20210034706
    Abstract: In some examples, machine learning based quantification of performance impact of data irregularities may include generating an irregularity feature vector for each text analytics application of a plurality of text analytics applications. Normalized data associated with a corresponding text analytics application may be generated for each text analytics application and based on minimization of irregularities present in un-normalized data associated with the corresponding text analytics application. An un-normalized data machine learning model may be generated for each text analytics application and based on the un-normalized data associated with the corresponding text analytics application. A normalized data machine learning model may be generated for each text analytics application and based on the normalized data associated with the corresponding text analytics application.
    Type: Application
    Filed: July 30, 2019
    Publication date: February 4, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Janardan MISRA, Sanjay PODDER, Narendranath SUKHAVASI
  • Patent number: 10901709
    Abstract: According to an example, partitioning based migration of systems to container and micro-service based-platforms may include determining, based on an analysis of source code for an application that is to be partitioned, an entity model corresponding to the application, identifying resources associated with the application, and determining a mapping of the identified resources to entities of the entity model. Further, partitioning based migration of systems to container and micro-service based-platforms may include identifying dependencies for each of the mapped resources, generating dependency and control flow metrics for the application, generating affinity values between the mapped resources, generating a resource affinity graph, determining an affinity score between each of the mapped resources, and generating resource clusters that correspond to partitions of the application.
    Type: Grant
    Filed: December 26, 2018
    Date of Patent: January 26, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Vibhu Saujanya Sharma, Sanjay Podder, Kapil Singi
  • Publication number: 20200401383
    Abstract: System and methods for cryptologic digital twin segregation with blockchain for development operations are provided. By way of introductory example, a system may receive a first development object from a first devops tool and a second development object from a second devops tool. The system may identify, in a segregation model graph, a first node and a second node, the first node corresponding to the first development object and the second node corresponding to the second development object. The system may determine the first node is mapped to an off-chain storage classification and the second node is mapped to an on-chain storage classification. The system may store the first development object in an off-chain storage, generate a hash value of the first development object, and store the hash value of the first development object on a blockchain. The system may store the second development object on the blockchain.
    Type: Application
    Filed: January 28, 2020
    Publication date: December 24, 2020
    Applicant: Accenture Global Solutions Limited
    Inventors: Kapil Singi, Vikrant Kaulgud, Swapnajeet Gon Choudhury, Jagadeesh Chandra Bose R. P., Vibhu Saujanya Sharma, Sanjay Podder, Adam Patten Burden
  • Publication number: 20200372060
    Abstract: A device may identify a first concept hierarchy of a first multimedia presentation and a second concept hierarchy of a second multimedia presentation. The device may determine a set of concepts associated with the first concept hierarchy and the second concept hierarchy and may determine a plurality of similarity scores associated with the set of concepts. The device may generate a new concept hierarchy based on the plurality of similarity scores, the first concept hierarchy, and the second concept hierarchy by: performing a first process to merge a concept with an additional concept; performing a second process to position a concept sequentially before or after an additional concept; performing a third process to position a concept and a different concept to sequentially follow an additional concept; and performing a fourth process to position a concept to sequentially follow an additional concept and a different concept.
    Type: Application
    Filed: May 20, 2019
    Publication date: November 26, 2020
    Inventors: Sanjay PODDER, Bruno MARRA, Neville DUBASH, Venkatesh SUBRAMANIAN, Nisha RAMACHANDRA, Padmaraj BHAT, Karthik ACHARYULU, Subramanian PALANISAMI, Kaushik TURLAPATY