Patents Assigned to Accenture Global Solutions Limited
  • Publication number: 20220198259
    Abstract: A system for issue prediction based on multidimensional data analysis includes a model generator that receives a resolved data item relating to a service issue. The resolved data item includes different attributes corresponding to multiple data dimensions and adjusts a population of attributes based on a statistical data model and a deep learning data model operating independent of each other. The statistical data model operates on the attributes for providing a predictive feature and the deep learning data model operates on the attributes for providing a predictive label based on performance metrics related to the data dimensions. The predictive feature and the predictive label collectively define training data. The model generator also trains a classification model based on the training data for predicting a potential issue related to an unresolved data item. The trained data model provides a trigger based on the potential issue being related to the performance metrics.
    Type: Application
    Filed: December 21, 2020
    Publication date: June 23, 2022
    Applicant: Accenture Global Solutions Limited
    Inventors: Anindya Dutt, Kamalesh Kuppusamy Kuduva, Prashanth Ramesh, Siddesha Swamy, Mohd Israil Khan, Ankur Narain, Kumar Viswanathan
  • 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: 11366845
    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: Grant
    Filed: May 20, 2019
    Date of Patent: June 21, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Sanjay Podder, Bruno Marra, Neville Dubash, Venkatesh Subramanian, Nisha Ramachandra, Padmaraj Bhat, Karthik Acharyulu, Subramanian Palanisami, Kaushik Turlapaty
  • Patent number: 11366439
    Abstract: An automation optimization engine is disclosed that provides a closed loop nodal analysis on a process performance tree. By analyzing an observed process and identifying automatable tasks from non-automatable tasks from the observed process, the automation optimization engine then applies machine learning techniques to generate a recommendation report identifying steps for implementing in the observed process to convert the non-automatable tasks into automatable tasks. Optimization is thus achieved to close the loop to further automate the observed process.
    Type: Grant
    Filed: February 28, 2018
    Date of Patent: June 21, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Manisha Dubey, Rajneesh Soni, Babu Xavier Raj, Anuradha Swaminathan
  • Patent number: 11366713
    Abstract: The proposed system and method provide streamlined procedures for automatically identifying and resolving computing errors that improve efficiency and accuracy by providing a way to automatically monitor log files, automatically find and identify errors in the log files, automatically find solutions the identified errors from a variety of sources, and automatically implement the found solutions. The system and method further provide streamlined procedures that use cognitive learning (e.g., machine learning) to learn new solutions that are manually defined and implemented by a user to resolve the automatically found and identified errors, and then automatically finding and implementing the new solutions in subsequent cycles.
    Type: Grant
    Filed: April 20, 2020
    Date of Patent: June 21, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Vidyasagar Honnappa, Chandramouli Muralitharan
  • Patent number: 11366881
    Abstract: Systems and methods for entitlement tracking and control with blockchain technology are provided. A server node may receive usage information indicating usage of a licensed component by a remote device. The server node may generate a datablock that includes the usage information and append the datablock to a blockchain. The server node may acquire, from the blockchain, a license smart contract. The license smart contract may include control logic to control access to the license component. The server node may control access to the license component by the remote device based on the usage information and the control logic.
    Type: Grant
    Filed: April 29, 2020
    Date of Patent: June 21, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Kevin Matthew Mintz, Arthur R. Leinen, III, Melanie Jean Cutlan, Richard Thomas Meszaros
  • Patent number: 11368478
    Abstract: A system for detecting and preventing execution of malware on a target system includes an interface for receiving training data. The training data includes domain names known to be legitimate and domain names known to be associated with malware. The system is configured to train a first model to classify the domain names in the training data as being legitimate domain names or malware-associated domain names using a supervised learning methodology. The system configured to train a second model to predict a correct domain name associated with domain names in the training data using an unsupervised learning methodology. The system configured to train a third model to classify the domain names in the training data as being legitimate domain names or malware-associated domain names based on an output of the first learning model and an output of the second learning model.
    Type: Grant
    Filed: February 5, 2020
    Date of Patent: June 21, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventor: Vicknesh Manoselvam
  • Patent number: 11368377
    Abstract: In some examples, closed loop monitoring based privileged access control may include identifying a ticket that includes a specification of an incident that is to be remedied and determining an intent of the ticket. A privileged access command library may be analyzed to determine a plurality of privileged access steps that can be performed to remedy the incident. A source file associated with procedures that were performed to remedy the incident may be analyzed. A plurality of events may be identified using the source file and filtered based on the plurality of privileged access steps that can be performed to remedy the incident. At least one event that includes at least one other privileged access step that is not one of the plurality of privileged access steps that can be performed to remedy the incident may be identified, and instructions may be generated to remedy the identified event.
    Type: Grant
    Filed: December 16, 2020
    Date of Patent: June 21, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Sanjeev Shukla, Gaurav Tandon, Chetan Kulshrestha, Alok Panda, Sayon Roy Choudhury, Anil Vilas Renuse, Catherine Marie-Luise Ploehn
  • Patent number: 11361211
    Abstract: A system for creating and managing an artificial conversational entity using an artificial intelligence (AI) based communications system is disclosed. The system may comprise a data access interface to receive instructions with configuration details from a requestor to create an artificial conversational entity, as well as data from a data source. The system may comprise a processor to generate the artificial conversational entity by: identifying a data source type associated with the data; performing data treatment on the received data based on the data source type in order to focus data on at least one targeted topic; determining and applying a compression technique to the received data; performing an intellective computing technique on the compressed data; performing a synoptic evaluation of the data; and generating an executable based on the synoptic evaluation.
    Type: Grant
    Filed: June 20, 2018
    Date of Patent: June 14, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Hemant Manaharlal Kakkad, Richa Gupta, Nitin Kumar Gupta
  • Patent number: 11361243
    Abstract: A device may identify, for a first analytics application, a first set of characteristics and obtain, for a second analytics application, a second set of characteristics. The device may determine a measure of similarity between the first analytics application and the second analytics application based on the first set of characteristics and the second set of characteristics. The device may also determine a relevance score for a feature of the first analytics application, the relevance score being based on a relevance score associated with a feature of the second analytics application. In addition, the device may determine a relevance score for a machine learning technique associated with the first analytics application, the relevance score being based on a relevance score associated with a machine learning technique associated with the second analytics application. Based on the first relevance score or the second relevance score, the device may perform an action.
    Type: Grant
    Filed: May 17, 2018
    Date of Patent: June 14, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Janardan Misra, Divya Rawat, Shubhashis Sengupta
  • Patent number: 11360823
    Abstract: Implementations include actions of receiving, by an intelligent quality assurance (iQA) platform, a desired state (DS) file including data indicative of a desired state of a cloud computing environment, triggering, by the iQA platform, an auto-discovery process to provide an actual state of the cloud computing environment based on cloud resources instantiated within the cloud environment, and application resources executing within the cloud environment, the auto-discovery process including retrieving first credentials to enable automated access to the cloud computing environment, determining, by the iQA platform, a delta between the actual state, and the desired state, and providing, by the iQA platform, a report including the delta.
    Type: Grant
    Filed: July 31, 2019
    Date of Patent: June 14, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Jayanti Vemulapati, Murtuza Chitalwala
  • Patent number: 11362906
    Abstract: A device may obtain configuration data for a server-side model. The device may generate synthetic usage data based on the configuration data. The device may train the server-side model based on the synthetic usage data. The device may determine update data based on the trained server-side model. The device may provide, to a client device, a message that includes the update data. The message may be configured to cause the client device to train a client-side model based on the update data and historical user data associated with the client device. The device may receive, from the client device, the client-side model data and may select content data based on the client-side model data and the trained server-side model. The device may provide the content data to the client device to permit the client device to provide content that is associated with the content data.
    Type: Grant
    Filed: September 18, 2020
    Date of Patent: June 14, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Md. Faisal Zaman, Hasan Samin Syed
  • Patent number: 11361337
    Abstract: A device may obtain customer data, associated with a customer identifier, that includes an indication of a recency of a past purchase, a frequency of past purchases, and/or a monetary value associated with past purchases by a customer associated with the customer identifier. The device may determine, based on comparing the customer data and aggregate customer data, a first score that predicts a current measure of loyalty associated with the customer, and may predict, based on the first score, a predicted frequency of future purchases by the customer and a predicted monetary value associated with the future purchases, to determine a second score that predicts a future measure of loyalty associated with the customer. The device may compare the first score and the second score to determine a risk level associated with the customer, and may cause an action to be performed based on determining the risk level.
    Type: Grant
    Filed: August 21, 2018
    Date of Patent: June 14, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Anshul Gupta, Annie Thomas, Subhajit Ghosh
  • Publication number: 20220182239
    Abstract: Examples of privacy preserving authentication are provided. A system may obtain a first input from a user on a touchpad. The touchpad may include a sensor array with multiple force sensitive resistors. Further, the system may identify a set of sensor electrodes of the sensor array that may be actuated on receiving the first input. The system may further determine a region of interest on the touchpad. Furthermore, the system may construct various matrices indicative of position, pressure, and directional characteristics associated with the user input. Furthermore, the system may generate a feature vector based on processing the matrices through a neural network. Furthermore, the system may generate an encrypted feature vector based on encrypting the feature vector by using a private key of the user and a homomorphic encryption function. The system may further provide an authorized access to the user based on performing authentication of the user using the encrypted feature vector.
    Type: Application
    Filed: December 7, 2020
    Publication date: June 9, 2022
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Amin HASSANZADEH, Aditi MAHESHWARI
  • Publication number: 20220179862
    Abstract: Examples of a process optimization system are provided. The system may obtain a query from a user and process data associated with the query from a plurality of data sources. The system may identify a plurality of factors and a target variable from the process data. The system may identify a factor range for the plurality of factors. The system may deconstruct the factor range to identify a plurality of data partitions. The system may identify a data pruning activator based on the plurality of data partitions and a preponderant data partition therefrom. The system may identify a plurality of clusters associated with the preponderant data partition. The system may identify a preponderant cluster from the plurality of clusters. The system may identify a confidence score associated with the preponderant cluster. The system may generate a process optimization result based on the preponderant cluster and the confidence score.
    Type: Application
    Filed: February 23, 2022
    Publication date: June 9, 2022
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Gurpreet SINGH BAWA, Kaustav Pakira, Tejas Anant Wagh
  • Patent number: 11354608
    Abstract: A device may receive organization data defining first capabilities of an organization and industry trend data that is relevant to the organization. The industry trend data may define second capabilities that are relevant to the organization. The device may provide, as input to a capability model, the organization data and the industry trend data. The capability model may have been trained to produce, as output, data specifying recommended changes for the organization. The device may determine, based on the output of the capability model and the industry trend data, a recommendation. The device may perform an action based on the recommendation.
    Type: Grant
    Filed: August 20, 2018
    Date of Patent: June 7, 2022
    Assignee: Accenture Global Solutions Limited
    Inventors: Ajitesh Prakash, Jitesh Goyal, EilĂ­s Delany, Mykhaylo Zayats, John Emmett Mannion, Yvonne M. Browne
  • Publication number: 20220172258
    Abstract: A system for providing real-time optimized product designs may obtain historical data and real-time data related to a product to identify real-time customer preferences and sentiments associated with the product. The system may provide a plurality of real-time potential attribute recommendations comprising attributes likely to be preferred by customers. The system may provide a set of preferred attribute recommendations based on the plurality of real-time potential attribute recommendations ranked highest in an attribute ranking order. The system may provide a cannibalization factor and a similarity index for each of the set of preferred attribute recommendations. The system may provide a real-time demand forecast of the product and may also provide a predicted cannibalization volume and a predicted incremental volume for the product in real-time. The system may determine a set of final attribute recommendations for the product to provide an optimized design for the product in real-time.
    Type: Application
    Filed: November 27, 2020
    Publication date: June 2, 2022
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Prateek JAIN, Mamta Aggarwal RAJNAYAK, Neha DIXIT, Govindarajan JOTHIKUMAR
  • 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: 11341439
    Abstract: In some examples, artificial intelligence and machine learning based product development may include ascertaining an inquiry, by a user, related to a product that is to be developed or that is under development, and ascertaining an attribute associated with the user. The inquiry may be analyzed to determine at least one virtual assistant from a set of virtual assistants to respond to the inquiry. The determined at least one virtual assistant may be invoked based on an authorization by the user. Further, development of the product may be controlled based on the invocation of the determined at least one virtual assistant.
    Type: Grant
    Filed: August 14, 2018
    Date of Patent: May 24, 2022
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Raghavendra Meharwade, Jeffson Felix Dsouza, Pratap Venkata Naga Poorna Bontha, Anubhav Gupta, Aruna Sivakumar, Muthalanghat Nisha, Janagi Madhankumar, Roopalaxmi Manjunath, Purnima Jagannathan, Nevis Ravi Kumar Rodriguez, Rajesh Nagarajan, Koushik M. Vijayaraghavan, Rajendra T. Prasad, Mohan Sekhar
  • Publication number: 20220156300
    Abstract: A document processing system processes documents including typewritten and/or handwritten data by converting them to document images for entity extraction. A received document is initially processed to generate a deep document data structured and for classification as one of a structured or an unstructured document. If the document is classified as a structured document, it is processed for entity extraction based on a matching template and image alignment of the document image with the matching template. If the document is classified as an unstructured document, entities are extracted by obtaining nodes and providing the nodes to a self-supervised masked visual language model.
    Type: Application
    Filed: November 19, 2020
    Publication date: May 19, 2022
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Anwitha PARUCHURI, Guanglei XIONG, Tsunghan WU, Neeru NARANG