Patents Assigned to Accenture
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Patent number: 12001972Abstract: Customer relationship management (“CRM”) implemented in a computer system, including parsing, by a parsing engine of the computer system into parsed triples of a description logic, words of a CRM event from an incoming stream of CRM events, the CRM event characterized by an event type, the stream implemented in a CRM application of the computer system; and inferring, by an inference engine from the parsed triples according to inference rules specific to the event type, inferred triples.Type: GrantFiled: October 31, 2018Date of Patent: June 4, 2024Assignee: Accenture Global Solutions LimitedInventor: Shannon L. Copeland
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Patent number: 12001951Abstract: 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: GrantFiled: March 23, 2021Date of Patent: June 4, 2024Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: 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
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Patent number: 12001174Abstract: A device may process, using a first model and based on an entity-specific task description that is included in entity role data and that is associated with a role, the entity role data to identify a task associated with the role. The device may determine, using a second model and based on the entity-specific task description and standardized descriptions of automation-capable tasks, a task automation score associated with the task. The device may determine, using a third model and based on a characteristic of the task and mappings of standardized characteristics to a plurality of automation categories, a set of automation category scores for the task. The device may classify, based on the set of automation category scores, the task as being associated with a particular automation category, and may perform an action associated with the task automation score and the particular automation category.Type: GrantFiled: July 22, 2020Date of Patent: June 4, 2024Assignee: Accenture Global Solutions LimitedInventors: Tanushree Guha, Rahul Bajaj, Kanika Pant, Michael Bazigos, Vikas Kumar
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Patent number: 12001488Abstract: In some implementations, a device may receive data associated with a set of taxonomies, wherein a taxonomy, of the set of taxonomies, represents a classification of a set of relationships of data entries of the data. The device may integrate the set of taxonomies to generate a meta-taxonomy of the data. The device may generate a data graph of the data based on integrating the set of taxonomies to generate the meta-taxonomy, wherein the data graph is based on a graph-based search model that is associated with at least one of: taxonomy-based filtering, metadata attribute prioritization, or semantic matching. The device may store the data graph.Type: GrantFiled: October 21, 2022Date of Patent: June 4, 2024Assignee: Accenture Global Solutions LimitedInventors: Tianyou Zhang, Ramine Tinati, Nisith Singh, Ming Yang Tham, Hai Le, Sidharth Mittal
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Patent number: 12002295Abstract: A system and method for video authentication may apply machine learning to analyze whether a person's face captured by live video matches a face in a photo ID captured by live video and to analyze other features based on a video session with the person. For example, machine learning may be applied to analyze a set of features indicating whether the person is a real, live person (as opposed to a photo image held up over the person's face in the video, etc.). Finally, the machine learning may be applied to analyze a set of features to determine whether a lower probability prediction that the person's face captured by live video matches a face in a photo ID captured by live video should be either pass authentication (due to one or more features/circumstances mitigating the lower probability) or fail authentication (due to one or more features not mitigating the lower probability). In such a situation, the set of features may indicate that mitigating factors/conditions exist that can offset the lower probability.Type: GrantFiled: August 13, 2021Date of Patent: June 4, 2024Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Ankit Suneja, Rajeev Divakaran Nair, S. Abishek Kumar
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Publication number: 20240177729Abstract: A method and system for emotion recognition and forecasting are disclosed. The method may include obtaining an audio data of a conversation involving a plurality of speakers and identifying a plurality of turns of the conversation from the plurality of utterances. The method may further include extracting audio embedding features from the plurality of turns, obtaining a plurality of text segments associated with the audio data, extracting text embedding features from the plurality of text segments, obtaining and concatenating speaker embedding features associated with the audio data, obtaining and concatenating a plurality of emotion features corresponding to the plurality of turns. The method further comprises executing a tree-based prediction model to predict emotion features of the plurality of speakers for a subsequent turn of the ongoing conversation based on the audio embedding features, text embedding features, the concatenated speaker embedding features, and the concatenated emotion features.Type: ApplicationFiled: November 30, 2022Publication date: May 30, 2024Applicant: Accenture Global Solutions LimitedInventors: Rosalin PARIDA, Bhushan Gurmukhdas JAGYASI, Surajit SEN, Aditi DEBSHARMA, Gopali Raval CONTRACTOR
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Patent number: 11995524Abstract: A system and method of offering task-specific guidance to users of software. The system and method can intelligently determine which task the user is likely performing and what sequence of steps (data journey) will offer the user the most efficient route in completing the task. In some embodiments, the proposed system collects data representing in-app behavior for a large group of users in order to train a model that will predict what the user's next actions are likely to be. Furthermore, in some cases, current data for a user may include screen captures or other image data that can be compared with stored image data in order to help identify the user's current task.Type: GrantFiled: June 24, 2021Date of Patent: May 28, 2024Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Jigar Ramanlal Pandya, Devang Shantilal Shah
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Patent number: 11995214Abstract: A system and method for managing access by end-users to features of an application through a policy management service is disclosed. Specifically, the method and system enable an application provider to utilize tools made available by the policy management service for creation of policies, such as terms and conditions and/or consent to data usage. In addition, the policy management service can provide an interface from which application administrators can link subset(s) of an API to specific policies, as well as the manage the presentation of these policies to end-users of the API that offer options to review and accept or reject the policies. The service further allows users to revoke an acceptance to a policy and to review their privacy settings. In addition, the policy management service can regulate the access of user data by external entities based on the policy limits.Type: GrantFiled: January 17, 2020Date of Patent: May 28, 2024Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Laura Mosconi, Fabio Mungo, Davide Di Perna
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Patent number: 11989678Abstract: In some implementations, a system may receive a submission associated with an innovation associated with an entity. The system may analyze, using a first machine learning model, the submission to identify a classification associated with the innovation. The system may analyze, using a second machine learning model in association with the classification, content of the submission to identify a characteristic of the innovation. The system may determine, using a third machine learning model and based on the characteristic, a ranking of the innovation relative to individual innovations in the subset of innovations. The system may determine, using a fourth machine learning model, an impact score associated with the innovation. The system may perform, based on the impact score satisfying a threshold, an action associated with a project involving the innovation.Type: GrantFiled: January 3, 2022Date of Patent: May 21, 2024Assignee: Accenture Global Solutions LimitedInventors: Ramkumar Kothandaraman, Raghavan Tinniyam Iyer, Puneet Kalra, Bhavna Butani, Sudeep Sharma, Ankita Kaushal, Suja Jain
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Patent number: 11989119Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer-storage media, for prioritizing test cases. Processes may include obtaining test artifacts that were generated based on testing one or more legacy versions of a software application using multiple test cases, generating a risk index based at least on the test artifacts that were generated based on testing the one or more legacy versions of the software application using the multiple test cases, and training an ensemble model that is configured to identify likely unnecessary or redundant test cases in connection with in testing an updated version of the software application, based at least on the risk index.Type: GrantFiled: February 24, 2022Date of Patent: May 21, 2024Assignee: Accenture Global Solutions LimitedInventors: Sandeep Bhat, Rohit Shrikant Patwardhan, Rahul Ghanashyam Joglekar
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Patent number: 11989210Abstract: A device may identify unique segments within data objects, of an object corpus stored in a data structure, as elements, and may generate an embedding space based on unique elements and mappings of the data objects to embeddings. The device may estimate semantic proximities among the data objects based on the mappings, and may build a semantic cohesion network among the data objects based on the semantic proximities. The device may identify semantically cohesive data clusters in the semantic cohesion network, and may sort the data objects in the semantically cohesive data clusters. The device may determine, from the semantically cohesive and sorted data clusters, a home data cluster for a new data object, and may store bookkeeping details of the new data object in the data structure based on the new data object being semantically similar to the data object in the home data cluster.Type: GrantFiled: July 12, 2022Date of Patent: May 21, 2024Assignee: Accenture Global Solutions LimitedInventors: Janardan Misra, Naveen Gordhan Balani
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Publication number: 20240161528Abstract: A document processing system processes a document image to identify document image regions including floating images, structured data units, and unstructured floating text. A first masked image is generated by deleting any floating images from the document image and a second masked image is generated by deleting any structured data units from the first masked image. The structured data units and the unstructured floating text are thus identified serially one after another. Textual data is extracted from the structured data units and the unstructured floating text by processing the corresponding document image regions via optical character recognition (OCR). Entities are extracted from the textual data using natural language processing (NLP) techniques.Type: ApplicationFiled: November 16, 2022Publication date: May 16, 2024Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Swati TATA, Anjani KUMARI, Abhishek SINGH, Kavita V V GANESHAN, Omar RAZI, Prakhar GUPTA, Achal GAMBHIR, Ranjan SARMAH
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Publication number: 20240161413Abstract: In some examples, temporal impact analysis of cascading events on metaverse-based organization avatar entities may include determining a temporal impact of a metaverse event on a specified organization avatar entity. With respect to the specified organization avatar entity, a similarity of the metaverse event may be determined in a current temporal context to past events. A reaction plan of a plurality of reaction plans may be selected from an event database and based on the determined similarity. Based on an analysis of the temporal impact with respect to the selected reaction plan, instructions may be generated to execute the selected reaction plan by a metaverse operating environment.Type: ApplicationFiled: November 15, 2022Publication date: May 16, 2024Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Janardan MISRA, Sanjay PODDER
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Patent number: 11985234Abstract: Methods, systems and apparatus for implementing a secure quantum swap operation on a first and second qubit. In one aspect a method includes establishing, by a first party and with a second party, an agreement to use a secure swap protocol; performing the quantum swap operation, comprising, for each two-qubit gate included in the quantum swap operation: performing, by the first party and according to the secure swap protocol, a respective preceding quantum gate cipher on the first qubit; performing, by the first party and the second party, the two-qubit gate on the first qubit and the second qubit; and performing, by the first party and according to the secure swap protocol, a respective succeeding quantum gate cipher on the first qubit. The preceding and succeeding quantum gate ciphers comprise computational bases that anti-commute with a computational basis of the two-qubit gate across a second axis of the Bloch sphere.Type: GrantFiled: May 13, 2022Date of Patent: May 14, 2024Assignee: Accenture Global Solutions LimitedInventors: Benjamin Glen McCarty, Amin Hassanzadeh
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Patent number: 11984334Abstract: The present disclosure describes a computer-implemented method for detecting anomalies during lot production, wherein the products within a production lot are processed according to a sequence of steps that include manufacturing steps and one or more quality control steps interspersed among the manufacturing steps, the method comprising: obtaining process quality inspection data from each of the one or more quality control steps for a first production lot; obtaining product characteristics data for the products in the first production lot after the final step in the sequence; training a Gaussian process regression model using the process quality inspection data and the product characteristics data from the first production lot; generating a predictive distribution of the product characteristics data using the Gaussian process regression model that uses a bathtub kernel function; obtaining process quality inspection data from each of the quality control steps for a second production lot; identifying anomaliesType: GrantFiled: April 13, 2021Date of Patent: May 14, 2024Assignee: Accenture Global Solutions LimitedInventors: Makoto Murai, Shin Moriga, Atsushi Suyama, Motoaki Hayashi, Takuya Kudo
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Patent number: 11983636Abstract: A model retraining tool is provided for utilizing a knowledge graph to retrain analytical models used in production. The model retraining tool retrains the analytical models to improve performance of the analytical models in an efficient and resource conserving manner.Type: GrantFiled: January 15, 2020Date of Patent: May 14, 2024Assignee: Accenture Global Solutions LimitedInventors: Matthew Kujawinski, Zhijie Wang, Teresa Sheausan Tung, Louis Gerald Farfan
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Publication number: 20240153257Abstract: A monitoring system based on a digital converter station includes a first monitoring terminal deployed at a first-level monitoring side, a second monitoring terminal deployed at a second-level monitoring side, and a third monitoring terminal deployed at a third-level monitoring side; the monitoring terminal at each level includes a communication module, a human-machine interaction module, a device status monitoring module, a device alarm management module, a video fusion processing module, and a data transmission adjustment and control module.Type: ApplicationFiled: January 11, 2024Publication date: May 9, 2024Applicants: STATE GRID CORPORATION OF CHINA, STATE GRID ECONOMIC AND TECHNOLOGICAL RESEARCH INSTITUTE CO., LTD, NR ELECTRIC CO., LTD., XJ GROUP CORPORATION, NARI TECHNOLOGY CO., LTD, BEIJING SGITG ACCENTURE INFORMATION TECHNOLOGY CENTER CO., LTD., HUAWEI TECHNOLOGY CO., LTDInventors: Wei JIN, Qing WANG, Xianshan GUO, Jun LYU, Siyuan LIU, Xiang ZHANG, Yanguo WANG, Zhanguo ZHANG, Haifeng WANG, Chong TONG, Ming LI, Wei CHENG, Ning ZHAO, Zhou CHEN, Xiaojun HOU, Hanqing ZHAO
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Publication number: 20240143334Abstract: Embodiments of a system and a method for classifying blocks of text at varying, possibly simultaneous, and possibly interacting levels of scope (e.g., sentence, paragraph, section, document) are disclosed. A system includes a processor coupled to: a data reader to receive an input comprising of a data stream, and convert the data stream into one or more logical data blocks of varying scopes. The system includes a dependency tree generator to create a dependency tree to define the scope and dependencies of each of a plurality of natural language processors (NL Processors) with respect to each other such that the dependency tree identifies when an input of a NL Processor (depender) depends on an output of another NL Processor (dependee). Each NL Processor is configured based on a type of at least one logical data block of the one or more logical blocks to which it applies.Type: ApplicationFiled: October 31, 2022Publication date: May 2, 2024Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Esteban Alberto ALVARADO SOLANO, Paul Edward NELSON, Mark David STANGER
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Patent number: 11972251Abstract: In some examples, continuous learning-based application related trade-off resolution and implementation may include generating, based on a plurality of historical tradeoff instances, an application feature matrix. Further, association rules for historical tradeoff instances for which decisions are not known, and a decision tree for historical tradeoff instances for which decisions are known may be generated. Decision rules may be induced, and default rules may be applied to a cold start scenario. The decision rules and the default rules may be refined to generate refined rules, and a confidence level may be determined for the refined rules. The refined rules may be prioritized based on the confidence level and applied to a new tradeoff instance to generate a resolution associated with the new tradeoff instance. The resolution may be implemented with respect to the new tradeoff instance.Type: GrantFiled: April 21, 2021Date of Patent: April 30, 2024Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Janardan Misra, Vikrant Kaulgud, Adam Patten Burden, Sanjay Podder, Narendranath Sukhavasi, Nibedita Sarmah
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Patent number: 11972254Abstract: A device may receive an application for transforming legacy applications into low-code/no-code applications to be managed by a low-code/no-code platform, and may execute the application for a legacy application of the legacy applications. The device may process the legacy application, with a machine learning model, to identify one or more components of the legacy application to be managed by the low-code/no-code platform, and may transform the one or more components into one or more transformed components to be managed by the low-code/no-code platform. The device may implement the one or more transformed components in the legacy application to generate a transformed legacy application, and may perform one or more actions based on the transformed legacy application.Type: GrantFiled: July 12, 2022Date of Patent: April 30, 2024Assignee: Accenture Global Solutions LimitedInventors: Rajesh Pappu, Surender Subramanian, Jeevak Balasubramaniam, Vijay Baskaran