Patents Assigned to Accenture Global Solutions Limited
  • Patent number: 11012461
    Abstract: The vulnerability of network devices may be predicted by performing a survival analysis on big data. A prediction algorithm may be built by considering historical data from heterogeneous data sources. The operating state of the network devices on a network may be predicted. The services potentially affected by a predicted outage may be determined and displayed. Alternatively or in addition, the number of clients potentially affected by a predicted outage may be determined and displayed.
    Type: Grant
    Filed: October 18, 2017
    Date of Patent: May 18, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Sanjay Tiwari, Gaurav Khanduri, Chandrasekarapuram Venkatesh Gangadharan, Surya Kumar Venkata Gangadhara Idumudi, Nithyanandan Periasamy Dhanapal
  • Patent number: 11010703
    Abstract: A productivity measuring, modeling and illustrating system receives input data pertaining to the productivity of an organization to generate various productivity views using a productivity maturity model. The productivity maturity model is based on suggested actions for increasing the productivity which are received in the input data. The productivity maturity model computes various productivity gains and provides productivity levels for the productivity levers associated with the organization. Various productivity views generated to display the productivity information include a summary view that displays the productivity gains and productivity levels using different filters.
    Type: Grant
    Filed: July 29, 2016
    Date of Patent: May 18, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Sunil Balugari, Ramesh K. V., Kallol Basu, Satyendra Shinde
  • Patent number: 11010829
    Abstract: A device may determine a behavioral pattern of an account over a past time period based on data relating to one or more transactions associated with the account. The device may identify one or more quantitative features of the behavioral pattern and one or more spatial features of the behavioral pattern. The device may determine an account type cluster to which the account belongs, based on the one or more quantitative features and the one or more spatial features identified. The device may determine, based on the account type cluster that is determined, a model for processing the behavioral pattern. The device may predict, using the model that is determined, an amount of funds that is likely to remain in the account during a future time period. The device may perform one or more actions based on the amount of funds that is predicted.
    Type: Grant
    Filed: June 24, 2019
    Date of Patent: May 18, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Anutosh Maitra, Shubhashis Sengupta, Abhisek Mukhopadhyay, Shilpi Jain, Sarabjit Singh Gugneja, Leonardo Orlando
  • Publication number: 20210142169
    Abstract: Examples of a prediction explanation system are be provided. The system may obtain a first data record comprising multiple case instances and a first data record neural network providing multiple predictions, each prediction being associated with a case instance. Each case instance may be analyzed to determine a corresponding hidden neuron contribution score, which may be used for clustering the cases instances into multiple instance clusters. For each instance cluster, a decision tree model may be generated, where a decision tree model comprises an explanation for a prediction associated with the case instance in the instance cluster. For a second data record obtained by the system, a second data index comprising a cluster mapping score assigned to each decision tree model may be determined. Based on the decision trees model with a highest cluster mapping score, a second data prediction output providing an explanation for a prediction may be generated.
    Type: Application
    Filed: September 28, 2020
    Publication date: May 13, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Tanusree DE, Prasenjit GIRI, Arati DEO, AhmedUvesh Ismail MEVAWALA, Ramyasri NEMANI
  • 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
  • Publication number: 20210142384
    Abstract: Examples of prospect recommendation including a prospect recommendation system are provided. The system may receive a prospect assessment query. The system may receive and sort prospect data, sales attribute data, and product data by applying an artificial intelligence component. The system may determine a prospect matrix by correlating the prospect data with the product data. The system may determine a prospect profile by collating historical prospect data and the product data. The system may determine a prospect assessment matrix by correlating the prospect matrix and the prospect profile. The system may determine a decisional pathway based on a comparison between the prospect profile and the prospect assessment matrix. The decisional pathway may include a plurality of assessment interpretations. The system may determine a prospect recommendation index based on the decisional pathway.
    Type: Application
    Filed: November 8, 2019
    Publication date: May 13, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Ravi Shankar NORI, Vinay AVINASH DORLE, Santosh KUMAR SONI, Siva Rama Sarma THEERTHALA, Sumeet PUSHPAM, Manu KHANNA
  • Patent number: 11003796
    Abstract: An Artificial Intelligence (AI) based document processing system receives a request including one or more documents related to a process to be automatically executed. The information including the fields and an intent required for the process are extracted from one or more of the request and the documents. The required documents and fields are selected based on the intent and a domain model. The required fields are validated using external knowledge and the discrepancies identified therein are resolved. An internal master document is built based on the required fields. The internal master document is employed for the automatic execution of the process which can include a de-identification process or an appeal process.
    Type: Grant
    Filed: August 5, 2019
    Date of Patent: May 11, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Piper Frances Tucker, Travis Bowers, James Robert Priestas, Tara Lynn O'Gara, Sarat Gurram
  • Publication number: 20210133739
    Abstract: A system supports symmetric release of cryptologically-locked asset transactions. A leading exchange party and a reciprocal exchange party establish, at least in part, a peer challenge in a pre-exchange proposal. The reciprocal party uses the peer challenge to lock a cryptologically-locked asset transaction. The solution to the peer challenge corresponds to an exchange key controlled by the leading exchange party. After establishment of the cryptologically-locked asset transaction, the leading party may request that exchange logic initiate release of the cryptologically-locked asset transaction. In response to the request, the exchange logic may execute a symmetric release of the exchange key and/or signature to the reciprocal exchange party and cryptologically-locked asset transaction (such that the asset is transferred to the leading exchange party).
    Type: Application
    Filed: October 30, 2019
    Publication date: May 6, 2021
    Applicant: Accenture Global Solutions Limited
    Inventors: Janis Olekss, Fraser Edwards, Peter Jacobus Nicolaas de Rooij
  • Publication number: 20210133010
    Abstract: A material failure forecasting system accesses historical failure data to forecasts future failures. The failure data of a material is analyzed using text processing techniques to identify failures and suspensions. The text processing techniques provide for identifying failures when fault words are associated with negations. A fault ontology establishes different failure modes that include primary, secondary and tertiary levels which enable identifying a sequence of failures. The failures thus identified are fitted to a data distribution selected from a plurality of data distributions. The parameters from the data distribution are used for simulating a demand profile for the material which considers interchangeability. Similarly failure data of the materials in an equipment can be analyzed and the reliability of the equipment can be estimated.
    Type: Application
    Filed: November 4, 2019
    Publication date: May 6, 2021
    Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Hitesh BHAGCHANDANI, Rajarajan THANGAVEL RAMALINGAM, Basavaraj CHIDANANDAPPA, Sriharsha Sravan KARAVADI, Manish KUMAR, Amartya RAY, Zakir HUSSAIN
  • Publication number: 20210133738
    Abstract: A system supports symmetric release of cryptologically-locked asset transactions. A leading exchange party and a reciprocal exchange party establish, at least in part, a peer challenge in a pre-exchange proposal. The reciprocal party uses the peer challenge to lock a cryptologically-locked asset transaction. The solution to the peer challenge corresponds to an exchange key controlled by the leading exchange party. The cryptologically-locked asset transaction call for solution of the peer challenge and signature of the transaction by exchange logic as conditions of release of the cryptologically-locked asset transaction. The exchange logic may execute a symmetric release of the exchange key and/or signature to the reciprocal exchange party and cryptologically-locked asset transaction (such that the asset is transferred to the leading exchange party).
    Type: Application
    Filed: October 30, 2019
    Publication date: May 6, 2021
    Applicant: Accenture Global Solutions Limited
    Inventors: Janis Olekss, Fraser Edwards, Peter Jacobus Nicolaas de Rooij
  • Patent number: 10997828
    Abstract: Systems, apparatuses, and methods are directed toward audio and visual mapping. A visual frame associated with an environment may be received. The visual frame may be segmented into a plurality of regions of interest. A first position for a first region of the plurality of regions of interest is determined. A determination may be made that the first position intersects with a projected area associated with a user. The projected area is to include one or more areas that are outside of a current direction of movement of the user. One or more characteristics of a first auditory stimulus are selected based on the first position and the determination that the first position is within the projected area.
    Type: Grant
    Filed: August 9, 2019
    Date of Patent: May 4, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Paulo Victor Moura, Leonardo Correia Silva
  • Patent number: 10997965
    Abstract: An automated testing system and method for evaluating voice processing systems is provided. In one embodiment, a method includes receiving a plurality of voice command inputs and a plurality of expected responses associated with the voice command inputs. A text-to-speech engine is applied to the voice command inputs to generate test command audio files. The test command audio files are provided to a testing apparatus in communication with a voice processing system. A generated response output from the voice processing system is obtained for each of the test command audio files. The generated response is captured from the testing apparatus using a sensor to detect audio and/or visual information. The obtained generated response is compared to an expected response from the plurality of expected responses for each of the test command audio files. Based on the comparison, a test result is provided for each of the voice command inputs.
    Type: Grant
    Filed: April 2, 2019
    Date of Patent: May 4, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Gregory Spata, Paul M. Barsamian
  • Patent number: 10999212
    Abstract: A multi-layer resource aggregation (RA) stack may generate prescriptive activation timetables for controlling activation states for computing resources. To facilitate operator control and adjustment, the RA stack may, at an aggregation engine layer, aggregate the computing resource into one or more resource aggregates. The computing resources within the resource aggregates may have similar individual activation prescription patterns. Machine learning techniques may be used by the RA stack to identify these related individual activation prescription patterns and aggregate the computing resources accordingly. Once aggregated, the RA stack may make a uniform activation determination for the aggregates as single units. Therefore, the computing resources within the aggregate may be controlled and/or adjust together. Thus, the RA stack increases the scalability of implementation of prescriptive computing resource activation state determinations.
    Type: Grant
    Filed: May 28, 2019
    Date of Patent: May 4, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Madhan Kumar Srinivasan, Arun Purushothaman, Manish Sharma Kolachalam
  • Patent number: 10999392
    Abstract: A system and method for recovering messages in a multi-node system that incorporates an active-active architecture with replicated databases is disclosed. The system comprises two or more computing nodes where each computing node includes brokers for processing local messages and a recovery broker for recovering messages from the replicated database when another node in the system fails. Each recovery broker competes with brokers on another node to acquire locks on database information. The recovery broker is successful if the network of brokers on the other node are unavailable and fail to obtain or retain locks on the database information. In this situation, the recovery broker can retrieve messages from the database information and pass the messages to other brokers on the same computing node for processing and completing any ongoing transactions.
    Type: Grant
    Filed: March 1, 2019
    Date of Patent: May 4, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Emanuele Baldassarre, Giorgio Andreoli, Luigi Lucca, Pasquale Di Tucci, Fabio Mungo
  • Patent number: 10996160
    Abstract: An AI-based asset maintenance system accesses a variety of data sources related to an entity to analyze data regarding one or more damage mechanisms corresponding to the entity thereby identifying and implementing corrective actions that mitigate the effects of the damage mechanisms within the entity. The accessed data is stored using a parameterized data model that represents the entity. A trained parameter model identifies the most significant operating parameters for a given component of the entity for the damage mechanism affecting the component. A projection model is used to perform ‘what-if’ analysis of the most significant operating parameters for determining the instances of minimum and maximum degradation due to the damage mechanism. Corrective actions for mitigating the degradation due to the damage mechanism can be determined based on analysis of the operating parameters and other attributes corresponding to the best and worst case degradation scenarios.
    Type: Grant
    Filed: July 5, 2018
    Date of Patent: May 4, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Harsha Vardhan Chalumuri, Rabinarayan Mishra, Ramaa Gopal Varma Vegesna, Santhosh Kumar Shivaram, Sheetal Pawar
  • Patent number: 10996878
    Abstract: Scalable architectures provide resiliency and redundancy and are suitable for cloud deployment. The architectures support extreme data throughput requirements. In one implementation, the architectures provide a serving layer and an extremely high speed processing lane. With these and other features, the architectures support complex analytics, visualization, rule engines, and centralized pipeline configuration.
    Type: Grant
    Filed: January 28, 2019
    Date of Patent: May 4, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Jagaran Das, Teresa Sheausan Tung, Srinivas Yelisetty, Daniel Corin
  • Patent number: 10997306
    Abstract: A device may obtain user activity data associated with a plurality of processes being run by the device, where the user activity data identifies user interactions with one or more user input devices, where the plurality of processes is associated with a plurality of process identifiers, and where the user activity data is associated with the plurality of process identifiers. The device may detect an attempt, initiated by a first process having a first process identifier, to access a data file of a file system, and may compare the first process identifier and the plurality of process identifiers to determine whether the first process is associated with a first user interaction included in the user activity data, and may selectively grant the first process access to the data file based on determining whether the first process is associated with the first user interaction.
    Type: Grant
    Filed: November 27, 2018
    Date of Patent: May 4, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Dani Grabois, Yair Karmy, Asaf Cohen, Roee Schreiber
  • Patent number: 10997623
    Abstract: A system selects a set of advertisement media associated with a product. A set of persistent advertisement media from the set of advertisement media is identified based on one or more tests. A Gaussian Bayesian (GB) network based on the set of advertisement media. A net persistence rate for each of the set of persistent advertisement media is determined based on the GB network. a competitor factor associated with another vendor of the product is computed based on one or more marketing parameters associated with the another vendor. A predicted sales (PS) value associated with each of the set of persistent advertisement media is determined. A persistent advertisement medium is selected in real time based on corresponding PS value. An advertisement is rendered on the selected persistent advertisement medium in real time for marketing the product.
    Type: Grant
    Filed: November 13, 2017
    Date of Patent: May 4, 2021
    Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITED
    Inventors: Sanjay Sharma, Derek Levesque, Rupesh Kumar, Keshav Rastogi
  • 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: 10999382
    Abstract: A master oracle may receive an oracle network identifier for an oracle network. The master oracle may receive a plurality of data messages respectively generated by the oracles. The master oracle may verify, based on respective public keys for the oracles, that each of the data messages are digitally signed by a different corresponding one of the oracles. The master oracle may aggregate the data messages into an aggregated data message. The master oracle may digitally sign the aggregated data message with a private key and public key pair. The master oracle may transmit the aggregated data message to a participant node of a distributed ledger network. A smart contract stored on a blockchain may verify the aggregated data. After receiving and verifying the aggregated data message the smart contract may execute to perform operations based on the aggregated data message.
    Type: Grant
    Filed: December 10, 2019
    Date of Patent: May 4, 2021
    Assignee: Accenture Global Solutions Limited
    Inventors: Anh-Dung Le, Luca Schiatti, Giuseppe Giordano