Patents by Inventor Srinivas Yelisetty
Srinivas Yelisetty 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).
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Patent number: 11243704Abstract: A data pipeline architecture is integrated with an analytics processing stack. The data pipeline architecture may receive incoming data streams from multiple diverse endpoint systems. The data pipeline architecture may include converter interface circuitry with multiple dynamic converters configured to convert the diverse incoming data stream into one or more interchange formats for processing by the analytics processing stack. The analytics processing stack may include multiple layers with insight processing layer circuitry above analysis layer circuitry. The analysis layer circuitry may control analytics models and rule application. The insight processing layer circuitry may monitor output from the analysis layer circuitry and generate insight adjustments responsive to rule changes and analytics model parameter changes produced at the analysis layer circuitry.Type: GrantFiled: June 26, 2020Date of Patent: February 8, 2022Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Jagaran Das, Srinivas Yelisetty, Teresa Sheausan Tung
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Patent number: 10996878Abstract: 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: GrantFiled: January 28, 2019Date of Patent: May 4, 2021Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Jagaran Das, Teresa Sheausan Tung, Srinivas Yelisetty, Daniel Corin
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Patent number: 10990892Abstract: Methods and systems for a quantum computing approach to solving challenging, e.g., NP-complete, problems in transportation. One of the methods includes (a) ingesting transportation-related data into a graph structure, the transportation-related data being associated with a transportation system; (b) identifying a transportation metric associated with the transportation system; (c) identifying at least one attribute associated with the transportation-related data, where the transportation metric is based at least in part on the attribute; (d) using a quantum computer to derive an operational parameter for the attribute that improves the transportation metric; and (e) applying the operational parameter to the operation of the transportation system.Type: GrantFiled: July 2, 2019Date of Patent: April 27, 2021Assignee: Accenture Global Solutions LimitedInventors: Carl Matthew Dukatz, Sonali Parthasarathy, Srinivas Yelisetty, Lascelles Forrester
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Patent number: 10956296Abstract: Event correlation may include identifying a feature set for each log file of a plurality of log files, and extracting the feature set for each event of a plurality of events in each log file of the plurality of log files. Event correlation may further include determining a plurality of trace event pairs linkage strength values for an event from a first log file of the plurality of log files and a plurality of events from a second log file of the plurality of log files. The trace event pairs linkage strength values may represent an overlap of the feature set for the event from the first log file and the feature set for each of the plurality of events from the second log file.Type: GrantFiled: May 31, 2017Date of Patent: March 23, 2021Assignee: ACCENTURE GLOBAL SERVICES LIMITEDInventors: Colin Puri, Scott Kurth, Srinivas Yelisetty
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Patent number: 10884808Abstract: A method for provisioning a computer includes providing a graph that defines relationships between one or more hardware components of a plurality of computers and component characteristics of the one or more hardware components, and relationships between one or more applications and requirements of the one or more applications. The method further includes receiving a selection of an application and determining, via the graph, whether at least one computer with hardware components capable of meeting the requirements of the application exists. If a computer exits, the method also includes communicating the application to the computer; triggering the computer to execute the application; and communicating, from the computer, data processed by the application to an external system.Type: GrantFiled: December 8, 2017Date of Patent: January 5, 2021Assignee: Accenture Global Solutions LimitedInventors: Anuraag Chintalapally, Narendra Anand, Srinivas Yelisetty, Michael Giba, Teresa Tung, Carl Dukatz, Colin Puri
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Publication number: 20200326870Abstract: A data pipeline architecture is integrated with an analytics processing stack. The data pipeline architecture may receive incoming data streams from multiple diverse endpoint systems. The data pipeline architecture may include converter interface circuitry with multiple dynamic converters configured to convert the diverse incoming data stream into one or more interchange formats for processing by the analytics processing stack. The analytics processing stack may include multiple layers with insight processing layer circuitry above analysis layer circuitry. The analysis layer circuitry may control analytics models and rule application. The insight processing layer circuitry may monitor output from the analysis layer circuitry and generate insight adjustments responsive to rule changes and analytics model parameter changes produced at the analysis layer circuitry.Type: ApplicationFiled: June 26, 2020Publication date: October 15, 2020Applicant: Accenture Global Solutions LimitedInventors: Jagaran Das, Srinivas Yelisetty, Teresa Sheausan Tung
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Patent number: 10698625Abstract: A data pipeline architecture is integrated with an analytics processing stack. The data pipeline architecture may receive incoming data streams from multiple diverse endpoint systems. The data pipeline architecture may include converter interface circuitry with multiple dynamic converters configured to convert the diverse incoming data stream into one or more interchange formats for processing by the analytics processing stack. The analytics processing stack may include multiple layers with insight processing layer circuitry above analysis layer circuitry. The analysis layer circuitry may control analytics models and rule application. The insight processing layer circuitry may monitor output from the analysis layer circuitry and generate insight adjustments responsive to rule changes and analytics model parameter changes produced at the analysis layer circuitry.Type: GrantFiled: May 7, 2018Date of Patent: June 30, 2020Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Jagaran Das, Srinivas Yelisetty, Teresa Sheausan Tung
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Publication number: 20190325338Abstract: Methods and systems for a quantum computing approach to solving challenging, e.g., NP-complete, problems in transportation. One of the methods includes (a) ingesting transportation-related data into a graph structure, the transportation-related data being associated with a transportation system; (b) identifying a transportation metric associated with the transportation system; (c) identifying at least one attribute associated with the transportation-related data, where the transportation metric is based at least in part on the attribute; (d) using a quantum computer to derive an operational parameter for the attribute that improves the transportation metric; and (e) applying the operational parameter to the operation of the transportation system.Type: ApplicationFiled: July 2, 2019Publication date: October 24, 2019Applicant: Accenture Global Solutions LimitedInventors: Carl Matthew Dukatz, Sonali Parthasarathy, Srinivas Yelisetty, Lascelles Forrester
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Patent number: 10445142Abstract: A method for provisioning a computer includes providing a graph that defines relationships between one or more hardware components of a plurality of computers and component characteristics of the one or more hardware components, and relationships between one or more applications and requirements of the one or more applications. The method further includes receiving a selection of an application and determining, via the graph, whether at least one computer with hardware components capable of meeting the requirements of the application exists. If a computer exits, the method also includes communicating the application to the computer; triggering the computer to execute the application; and communicating, from the computer, data processed by the application to an external system.Type: GrantFiled: July 19, 2018Date of Patent: October 15, 2019Assignee: Accenture Global Solutions LimitedInventors: Anuraag Chintalapally, Narendra Anand, Srinivas Yelisetty, Michael Giba, Teresa Tung, Carl Dukatz, Colin Puri
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Patent number: 10387791Abstract: Methods and systems for a quantum computing approach to solving challenging, e.g., NP-complete, problems in transportation. One of the methods includes (a) ingesting transportation-related data into a graph structure, the transportation-related data being associated with a transportation system; (b) identifying a transportation metric associated with the transportation system; (c) identifying at least one attribute associated with the transportation-related data, where the transportation metric is based at least in part on the attribute; (d) using a quantum computer to derive an operational parameter for the attribute that improves the transportation metric; and (e) applying the operational parameter to the operation of the transportation system.Type: GrantFiled: March 22, 2017Date of Patent: August 20, 2019Assignee: Accenture Global Solutions LimitedInventors: Carl Matthew Dukatz, Sonali Parthasarathy, Srinivas Yelisetty, Lascelles Forrester
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Patent number: 10332046Abstract: A social collaboration workflow system embeds social collaboration functionality into the workflow process. The system identifies a location of a user device, and identifying a current activity associated with the user device based on the identified location. The system displays instructions for performing the current activity to a user interface on the user device, and displays an activity feed comprising a set of previously submitted activity feed posts that are related to the current activity to the user interface. The system determines whether the current activity has changed to a new current activity. If the current activity has changed, the system displays instructions for performing the new current activity to the user interface, and displays a new set of previously submitted activity feed posts that are related to the new current activity to the user interface.Type: GrantFiled: June 24, 2014Date of Patent: June 25, 2019Assignee: ACCENTURE GLOBAL SERVICES LIMITEDInventors: Srinivas Yelisetty, Alex Kass, Brett Goldstein, Masoud Loghmani, Gurdeep Singh
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Publication number: 20190155533Abstract: 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: ApplicationFiled: January 28, 2019Publication date: May 23, 2019Applicant: Accenture Global Solutions LimitedInventors: Jagaran Das, Teresa Sheausan Tung, Srinivas Yelisetty, Daniel Corin
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Patent number: 10235076Abstract: 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: GrantFiled: December 14, 2016Date of Patent: March 19, 2019Assignee: Accenture Global Solutions LimitedInventors: Jagaran Das, Teresa Sheausan Tung, Srinivas Yelisetty, Daniel Corin
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Publication number: 20190050264Abstract: A method for provisioning a computer includes providing a graph that defines relationships between one or more hardware components of a plurality of computers and component characteristics of the one or more hardware components, and relationships between one or more applications and requirements of the one or more applications. The method further includes receiving a selection of an application and determining, via the graph, whether at least one computer with hardware components capable of meeting the requirements of the application exists. If a computer exits, the method also includes communicating the application to the computer; triggering the computer to execute the application; and communicating, from the computer, data processed by the application to an external system.Type: ApplicationFiled: July 19, 2018Publication date: February 14, 2019Inventors: Anuraag Chintalapally, Narendra Anand, Srinivas Yelisetty, Michael Giba, Teresa Tung, Carl Dukatz, Colin Puri
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Publication number: 20180329644Abstract: A data pipeline architecture is integrated with an analytics processing stack. The data pipeline architecture may receive incoming data streams from multiple diverse endpoint systems. The data pipeline architecture may include converter interface circuitry with multiple dynamic converters configured to convert the diverse incoming data stream into one or more interchange formats for processing by the analytics processing stack. The analytics processing stack may include multiple layers with insight processing layer circuitry above analysis layer circuitry. The analysis layer circuitry may control analytics models and rule application. The insight processing layer circuitry may monitor output from the analysis layer circuitry and generate insight adjustments responsive to rule changes and analytics model parameter changes produced at the analysis layer circuitry.Type: ApplicationFiled: May 7, 2018Publication date: November 15, 2018Applicant: Accenture Global Solutions LimitedInventors: Jagaran Das, Srinivas Yelisetty, Teresa Sheausan Tung
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Publication number: 20180276994Abstract: Methods and systems for a quantum computing approach to solving challenging, e.g., NP-complete, problems in transportation. One of the methods includes (a) ingesting transportation-related data into a graph structure, the transportation-related data being associated with a transportation system; (b) identifying a transportation metric associated with the transportation system; (c) identifying at least one attribute associated with the transportation-related data, where the transportation metric is based at least in part on the attribute; (d) using a quantum computer to derive an operational parameter for the attribute that improves the transportation metric; and (e) applying the operational parameter to the operation of the transportation system.Type: ApplicationFiled: March 22, 2017Publication date: September 27, 2018Inventors: Carl Matthew Dukatz, Sonali Parthasarathy, Srinivas Yelisetty, Lascelles Forrester
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Publication number: 20180173570Abstract: A method for provisioning a computer includes providing a graph that defines relationships between one or more hardware components of a plurality of computers and component characteristics of the one or more hardware components, and relationships between one or more applications and requirements of the one or more applications. The method further includes receiving a selection of an application and determining, via the graph, whether at least one computer with hardware components capable of meeting the requirements of the application exists. If a computer exits, the method also includes communicating the application to the computer; triggering the computer to execute the application; and communicating, from the computer, data processed by the application to an external system.Type: ApplicationFiled: December 8, 2017Publication date: June 21, 2018Inventors: Anuraag Chintalapally, Narendra Anand, Srinivas Yelisetty, Michael Giba, Teresa Tung, Carl Dukatz, Colin Puri
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Publication number: 20170262353Abstract: Event correlation may include identifying a feature set for each log file of a plurality of log files, and extracting the feature set for each event of a plurality of events in each log file of the plurality of log files. Event correlation may further include determining a plurality of trace event pairs linkage strength values for an event from a first log file of the plurality of log files and a plurality of events from a second log file of the plurality of log files. The trace event pairs linkage strength values may represent an overlap of the feature set for the event from the first log file and the feature set for each of the plurality of events from the second log file.Type: ApplicationFiled: May 31, 2017Publication date: September 14, 2017Applicant: Accenture Global Services LimitedInventors: Colin PURI, Scott KURTH, Srinivas YELISETTY
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Patent number: 9697100Abstract: Event correlation may include identifying a feature set for each log file of a plurality of log files, and extracting the feature set for each event of a plurality of events in each log file of the plurality of log files. Event correlation may further include determining a plurality of trace event pairs linkage strength values for an event from a first log file of the plurality of log files and a plurality of events from a second log file of the plurality of log files. The trace event pairs linkage strength values may represent an overlap of the feature set for the event from the first log file and the feature set for each of the plurality of events from the second log file.Type: GrantFiled: March 10, 2014Date of Patent: July 4, 2017Assignee: ACCENTURE GLOBAL SERVICES LIMITEDInventors: Colin Puri, Scott Kurth, Srinivas Yelisetty
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Publication number: 20170177263Abstract: 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: ApplicationFiled: December 14, 2016Publication date: June 22, 2017Inventors: Jagaran Das, Teresa Sheausan Tung, Srinivas Yelisetty, Daniel Corin