Patents by Inventor Madhura Shivaram

Madhura Shivaram 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: 11392835
    Abstract: Examples of employee concierge are provided. In an example, an issue may be determined for an employee. The issue may be determined based on a query shared by the employee or upon occurrence of an unusual event. The unusual event may be indicative of a deviation in behaviour and routine of the employee. A session may be initiated and the issue may be parsed to determine a context. A bot may be selected from multiple bots for the issue where each bot includes information relating to a solution to address the issue. Data associated with the issue may be collected from a central database and other bots. The data may then be analyzed to determine a solution. The solution comprises a response to the query and a suggestion to mitigate the unusual event.
    Type: Grant
    Filed: August 31, 2018
    Date of Patent: July 19, 2022
    Assignee: ACCENTUREGLOBAL SOLUTIONS LIMITED
    Inventors: Chung-Sheng Li, Emmanuel Munguia Tapia, Guanglei Xiong, Jill K. Goldstein, Jingyun Fan, Rajeev Sinha, Manoj Shroff, Golnaz Ghasemiesfeh, Kayhan Moharreri, Swati Tata, Pratip Samanta, Madhura Shivaram, Akanksha Juneja, Anshul Solanki, Jorjeta Jetcheva, Priyanka Chowdhary, Rishi Vig, Kyle Patrick Johnson, Mohammad Jawad Ghorbani
  • Patent number: 11373101
    Abstract: Examples of analyzing documents are defined. In an example, a request to analyze a document may be received. A knowledge model corresponding to a guideline associated with the document may be obtained. The knowledge model may include at least one of a hypothetical question and a logical flow to determine an inference to the hypothetical question. The hypothetical question relates to an element of the guideline. Based on the knowledge model, data from the document may be extracted for analysis using an artificial intelligence (AI) component. The Ai component may be configured to extract and analyze data, based on the knowledge model. Based on the analysis, a report indicating whether the document falls within a purview of the guideline may be generated.
    Type: Grant
    Filed: April 6, 2018
    Date of Patent: June 28, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Chung-Sheng Li, Guanglei Xiong, Swati Tata, Pratip Samanta, Madhura Shivaram, Golnaz Ghasemiesfeh, Giulio Cattozzo, Lisa Blackwood, Nagendra Kumar M R, Priyanka Chowdhary
  • Patent number: 11366798
    Abstract: Examples of a record generation system are provided. The system may receive a record generation requirement from a user. The system may obtain record data, a plurality of user documents, and identify a record corpus from the record data. The system may sort the record data into a plurality of data domains. The system may determine at least one record mapping context including a record value from the plurality of user documents. The system may determine a selection rule from the plurality of data domains for each of the record mapping context. The system may create a record index corresponding to the plurality of user documents. The system may create a record generation model corresponding to the record generation requirement based on the record index. The system may generate a record generation result corresponding to the record generation requirement comprising the relevant record generation model.
    Type: Grant
    Filed: May 26, 2020
    Date of Patent: June 21, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Chinnappa Guggilla, Praneeth Medhatithi Shishtla, Madhura Shivaram, Harinarayan Ojha, Anirudh Murthy, Sumeet Sawarkar
  • Patent number: 11341377
    Abstract: In some examples, image content moderation may include classifying, based on a learning model, an object displayed in an image into a category. Further, image content moderation may include detecting, based on another learning model, the object, refining the detected object based on a label, and determining, based on the another learning model, a category for the refined detected object. Further, image content moderation may include identifying, based on the label, a keyword associated with the object, and determining, based on the identified keyword, a category for the object. Further, image content moderation may include categorizing, based on a set of rules, the object into a category, and moderating image content by categorizing, based on aforementioned analysis the object into a category. Yet further, image content moderation may include tagging, based on fusion-based tagging, the object with a category and a color associated with the object.
    Type: Grant
    Filed: December 30, 2019
    Date of Patent: May 24, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Amioy Kumar, Nagendra K. Kumar, Madhura Shivaram, Suraj Govind Jadhav, Chung-Sheng Li, Saurabh Mahadik
  • Patent number: 11200265
    Abstract: A narrative response generator receives a user data query specifying variables and data sources from which to extract information desired by a user. The narrative response presents the information desired by the user in a non-textual format such as graphs and a textual format such as one or more paraphrases that are automatically generated by a sentence struct model. The sentence struct model generates context free grammar (CFG) which provides templates for generating word sequences that contain natural language words and placeholders. The placeholders are replaced with values obtained from the user data query for generating grammatically-accurate, complete paraphrases. The narrative response may additionally include information extracted from external data sources.
    Type: Grant
    Filed: May 9, 2017
    Date of Patent: December 14, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Swati Tata, Madhura Shivaram, Deepak Kumar, Pratip Samanta, Srikrishna Raamadhurai
  • Patent number: 11188436
    Abstract: An Artificial Intelligence (AI)-based automated process is monitored via a process monitoring system that identifies components used in the execution of the sub-processes of the automated process. Various metrics are selected for collection prior to or during the execution of the AI-based automated process. The values of the metrics are collected as step outputs corresponding to the sub-processes. A final output generated upon the execution of the automated process is also collected. The step outputs can be used to determine the reason why the automated process produced a certain final output.
    Type: Grant
    Filed: January 22, 2019
    Date of Patent: November 30, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Soujanya Soni, Kavita V V Ganeshan, Aishwarya Kaliki, Madhura Shivaram, Mandar Mohan Patil
  • Publication number: 20210319007
    Abstract: Examples of a record generation system are provided. The system may receive a record generation requirement from a user. The system may obtain record data, a plurality of user documents, and identify a record corpus from the record data. The system may sort the record data into a plurality of data domains. The system may determine at least one record mapping context including a record value from the plurality of user documents. The system may determine a selection rule from the plurality of data domains for each of the record mapping context. The system may create a record index corresponding to the plurality of user documents. The system may create a record generation model corresponding to the record generation requirement based on the record index. The system may generate a record generation result corresponding to the record generation requirement comprising the relevant record generation model.
    Type: Application
    Filed: May 26, 2020
    Publication date: October 14, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Chinnappa GUGGILLA, Praneeth MEDHATITHI SHISHTLA, Madhura SHIVARAM, Harinarayan OJHA, Anirudh MURTHY, Sumeet SAWARKAR
  • Patent number: 11030409
    Abstract: A device may receive information associated with an entity. The information may include a first resource and a second resource. The first resource may be associated with a first file type, and the second resource may be associated with a second file type that is different than the first file type. The first resource may be associated with a first source, and the second resource may be associated with a second source that is different than the first source. The device may extract a plurality of attributes associated with the entity based on the information. The device may implement a natural language processing technique to extract the plurality of attributes. The device may associate the plurality of attributes with a plurality of elements based on extracting the plurality of attributes. The device may provide information that identifies the plurality of elements and the plurality of attributes to permit and/or cause an action to be performed.
    Type: Grant
    Filed: August 19, 2016
    Date of Patent: June 8, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Abhishek Datta Sharma, Madhura Shivaram, Suraj Govind Jadhav, Kaushal Mody, Deepak Kumar, Guruprasad Dasappa, Arvind Maheswaran
  • Publication number: 20210142356
    Abstract: Examples of a content alignment system are provided. The system may receive a content record and a content creation requirement. The system may implement an artificial intelligence component to sort the content record into a plurality of objects and for identifying an object boundary for each of the plurality of objects. The system may identify a plurality of images and implement a first cognitive learning operation to identify an image boundary for each of the plurality of images. The system may identify a plurality of exhibits and implement a second cognitive learning operation to identify a data pattern associated with each of the plurality of exhibits. The system may implement a third cognitive learning operation for determining a content creation model by evaluating the plurality of objects, the plurality of images, and the plurality of exhibits. The system may generate a content creation output to resolve the content creation requirement.
    Type: Application
    Filed: November 8, 2019
    Publication date: May 13, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Pratip SAMANTA, Manash JYOTI KONWAR, Keshav BOHRA, Himani SHUKLA, Nagendra Kumar KARAMALA, Madhura SHIVARAM, Amit SHARMA, Sumeet SAWARKAR, Swati TATA
  • Patent number: 10997507
    Abstract: A system for reconciliation comprises a determination engine to determine whether data is structured or unstructured, a data structuring engine to structure the data, and a rule extraction engine to determine relations between pairs of values of a first set and a second set of data. The system further comprises a matching engine to generate a confidence score for each pair of the values, a categorization engine to classify the pairs of values into matched pairs and unmatched pairs, a validation engine to validate matching and classification of the pairs based on a user feedback, and a learning engine to store details pertaining to the validation of the matching and the classification over a period of time. The learning engine forwards the details to the rule extraction engine and the categorization engine to determine the relations between subsequent pairs of values and classify the pairs based on the stored details.
    Type: Grant
    Filed: June 1, 2017
    Date of Patent: May 4, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Srikrishna Raamadhurai, Abhishek Datta Sharma, Siddhartha Asthana, Suresh Venkatasubramaniyan, Himani Shukla, Madhura Shivaram, Chung-Sheng Li
  • Patent number: 10936970
    Abstract: A machine learning document processing system performs natural language processing (NLP) and machine learning to determine a subset of documents from a document dataset based on the structural features and semantic features. The system facilitates an interactive process, e.g., through a client application, to receive user input from a user to identify documents with a specific document feature category. The user input may be provided from a user as speech or text, and NLP is performed on the user input to determine user intent, the document features, and document feature category. Using the user intent and the additional document feature category, the system identifies subsets of the document dataset that matches the document feature category for display.
    Type: Grant
    Filed: October 13, 2017
    Date of Patent: March 2, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Chinnappa Guggilla, Madhura Shivaram
  • Patent number: 10936363
    Abstract: An Artificial Intelligence (AI) based data transformation system receives a process document and automatically generates processor-executable code which enables automatic execution of a process as detailed within the process document. Various structural elements of the process documents are identified and the data from the document is clustered based on common parameters which can include the structural elements or textual data from the process document. The contextual information including conditional and non-conditional statements along with the entities and entity attributes are also obtained. The domain knowledge is superimposed on the contextual information to generate flows that represent procedures which make up the process to be automated. Platform specific code for the automatic execution of the process is automatically generated from the flows.
    Type: Grant
    Filed: February 4, 2019
    Date of Patent: March 2, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Kavita V V Ganeshan, Soujanya Soni, Aishwarya Kaliki, Madhura Shivaram, Libin Varughese, Namratha Suresh
  • Patent number: 10896214
    Abstract: An AI-based data processing system analyzes a received information request to generate an interactive visualization including data responsive to the information request. The information request is processed to obtain the primary entity and one or more informational items related to the primary entity. Auxiliary entities and informational items related to the primary entity are identified and searches are executed on a knowledge base and the internet. The results from the searches are analyzed to obtain knowledge nuggets which are included into a selected one of a visualization template to generate the interactive visualization. If it is determined via user interactions with the interactive visualization that an informational gap exists between the information request and the data in the interactive visualization, the interactive visualization can be updated to address the informational gap.
    Type: Grant
    Filed: June 1, 2018
    Date of Patent: January 19, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Krishna Kummamuru, Swati Tata, Guruprasad Dasappa, Chung-Sheng Li, Madhura Shivaram, Vivek Chenna, Deepak Dalwani, Venkata Ramakrishnap, Mudita Shah, Chetan N. Yadati
  • Patent number: 10846294
    Abstract: A system for determining a response to a query includes a receiver to receive a query along with a plurality of potential responses to the query. A detector detects a topic and a type of the query based on information extracted from text and structure. Further, a selector selects at least one of a plurality of techniques for processing the query and the plurality of potential responses, based on the topic and the type of the query. An obtainer obtains an answer by execution of each of the selected techniques for processing the query and the plurality of potential responses along with an associated confidence score. A determinator determines one of obtained answers as a correct response to the query, based on a comparison between confidence scores associated with the answers.
    Type: Grant
    Filed: July 17, 2018
    Date of Patent: November 24, 2020
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Chung-Sheng Li, Benjamin Nathan Grosof, Madhura Shivaram, Guanglei Xiong, Colin Connors, Kyle Patrick Johnson, Emmanuel Munguia Tapia, Mingzhu Lu, Golnaz Ghasemiesfeh, Tsunghan Wu, Neeru Narang, Sukryool Kang, Kayhan Moharreri
  • Patent number: 10776717
    Abstract: Techniques are described for routing service requests in a computer-implemented service environment. A received service request may be initially analyzed to determine a priority of the request. In some implementations, one or more actions may be automatically performed to provide an initial response to the requester. The text of the request may be analyzed to automatically determine a category of the request. In some implementations, a classification engine may determine the category of the request through use of a classification model that has been trained using one or more machine learning (ML) techniques and/or that employs Natural Language Processing (NLP). Based on the category, the request may be routed to agent(s) for handling. Routing may include generating a ticket that includes the request, the category, the priority, and/or other information, and the ticket may be provided to the appropriate agent(s) through a ticketing service.
    Type: Grant
    Filed: June 14, 2017
    Date of Patent: September 15, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: Prakash Ghatage, Madhura Shivaram, Kaushal Mody, Nirav Sampat, Samatha Kottha, Sumeet Sawarkar, Suraj Jadhav, Madhu Sudhan H V, Nagendra B. Kumar
  • Publication number: 20200272915
    Abstract: An Artificial Intelligence (AI)-based data processing system employs a trained AI model for extracting features of products from various product classes and building a product ontology from the features. The product ontology is used to respond to user queries with product recommendations and customizations. Training data for the generation of the AI model for feature extraction is initially accessed and verified to determine of the training data meets a data density requirement. If the training data does not meet the data density requirement, data from one of a historic source or external sources is added to the training data. One of the plurality of AI models is selected for training based on the degree of overlap and the inter-class distance between the datasets of the various product classes within the training data.
    Type: Application
    Filed: February 27, 2019
    Publication date: August 27, 2020
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Swati TATA, Abhishek GUNJAN, Pratip SAMANTA, Madhura SHIVARAM, Ankit CHOUKSEY, Arnest TONY LEWIS
  • Patent number: 10726308
    Abstract: In some examples, image content moderation may include classifying, based on a learning model, an object displayed in an image into a category. Further, image content moderation may include detecting, based on another learning model, the object, refining the detected object based on a label, and determining, based on the another learning model, a category for the refined detected object. Further, image content moderation may include identifying, based on the label, a keyword associated with the object, and determining, based on the identified keyword, a category for the object. Further, image content moderation may include categorizing, based on a set of rules, the object into a category, and moderating image content by categorizing, based on aforementioned analysis the object into a category. Yet further, image content moderation may include tagging, based on fusion-based tagging, the object with a category and a color associated with the object.
    Type: Grant
    Filed: September 26, 2017
    Date of Patent: July 28, 2020
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Amioy Kumar, Nagendra K. Kumar, Madhura Shivaram, Suraj Govind Jadhav, Chung-Sheng Li, Saurabh Mahadik
  • Patent number: 10713291
    Abstract: Implementations are directed to providing an electronic document, and include receiving text content including a plurality of segments, the text content being received from data sources, determining a set of topics to be included in the electronic document, for each topic in the set of topics, providing a set of contextual words associated with a respective topic, contextual words being determined from a lexical database, each contextual word having a respective frequency, determining a score for each segment and topic pair, the score indicating a relevance of a respective topic to a respective segment, each score being determined based on respective contextual words of the respective topic and frequencies of the respective contextual words, for each topic, providing, by the one or more processors, a summary including at least one segment based on respective score, and providing, to a user device, the electronic document including one or more summaries.
    Type: Grant
    Filed: October 10, 2017
    Date of Patent: July 14, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: Swati Tata, Madhura Shivaram, Deepak Kumar, Guruprasad Dasappa
  • Patent number: 10698868
    Abstract: A device may analyze a set of unstructured documents of an organization associated with a domain to identify a first set of entities. The device may analyze a set of semi-structured documents of the organization to determine a second set of entities. The device may filter the first set of entities using the second set of entities. Filtering the first set of entities may include removing, from the first set of entities, one or more entities that do not satisfy a threshold level of similarity with entities included in the second set of entities. The device may consolidate the filtered first set of entities and the second set of entities to identify a set of key entities. The device may provide the set of key entities to a user device to allow the set of key entities to be annotated and used for one or more machine learning models.
    Type: Grant
    Filed: November 17, 2017
    Date of Patent: June 30, 2020
    Assignee: Accenture Global Solutions Limited
    Inventors: Chinnappa Guggilla, Praveen Maniyan, Madhura Shivaram, Naveen Bansal
  • Publication number: 20200159571
    Abstract: An Artificial Intelligence (AI) based data transformation system receives a process document and automatically generates processor-executable code which enables automatic execution of a process as detailed within the process document. Various structural elements of the process documents are identified and the data from the document is clustered based on common parameters which can include the structural elements or textual data from the process document. The contextual information including conditional and non-conditional statements along with the entities and entity attributes are also obtained. The domain knowledge is superimposed on the contextual information to generate flows that represent procedures which make up the process to be automated. Platform specific code for the automatic execution of the process is automatically generated from the flows.
    Type: Application
    Filed: February 4, 2019
    Publication date: May 21, 2020
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Kavita V V GANESHAN, Soujanya SONI, Aishwarya KALIKI, Madhura SHIVARAM, Libin VARUGHESE, Namratha SURESH