Patents by Inventor Kannappan Ramu
Kannappan Ramu 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: 11823245Abstract: A method includes generating a model for a content taxonomy using one or more machine learning (ML) techniques. The model comprises a plurality of metadata tags for electronic content. In the method, a plurality of electronic content items are received from a plurality of content management systems, and are analyzed using the one or more ML techniques. The method also includes assigning one or more of the plurality of metadata tags to each of the plurality of electronic content items based on the analysis, and transmitting to the plurality of content management systems via one or more application programming interfaces, a plurality of recommendations comprising which of the plurality metadata tags to apply to the plurality of electronic content items.Type: GrantFiled: June 30, 2020Date of Patent: November 21, 2023Assignee: Dell Products L.P.Inventors: Venkat S. Ramachandran, Naga Kalyan Kambapu, Jonathan Cornish Byerly, Nikhil Reddy Kota, Pradeepta Ranjan Choudhury, Hung Dinh, Kannappan Ramu
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Patent number: 11599793Abstract: Methods, apparatus, and processor-readable storage media for data integration demand management using artificial intelligence are provided herein. An example computer-implemented method includes obtaining at least one data integration demand, wherein the at least one data integration demand comprises textual information provided by at least one user; determining multiple parameters of the at least one data integration demand by applying one or more machine learning natural language processing techniques to at least a portion of the textual information provided by the at least one user; generating at least one delivery date prediction for the at least one data integration demand by applying one or more artificial intelligence techniques to the multiple determined parameters of the at least one data integration demand; and performing one or more automated actions based at least in part on the at least one generated delivery date prediction.Type: GrantFiled: January 30, 2020Date of Patent: March 7, 2023Assignee: Dell Products L.P.Inventors: Hung T. Dinh, Sandeep Govindraj, Ranjani Muthyam Venkata, Sabu K. Syed, Kannappan Ramu
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Patent number: 11586964Abstract: Methods, apparatus, and processor-readable storage media for device component management using deep learning techniques are provided herein. An example computer-implemented method includes obtaining telemetry data from one or more enterprise devices; determining, for each of the one or more enterprise devices, values for multiple device attributes by processing the obtained telemetry data; generating, for each of the one or more enterprise devices, at least one prediction related to lifecycle information of at least one device component by processing the determined attribute values using one or more deep learning techniques; and performing one or more automated actions based at least in part on the at least one generated prediction.Type: GrantFiled: January 30, 2020Date of Patent: February 21, 2023Assignee: Dell Products L.P.Inventors: Parminder Singh Sethi, Akanksha Goel, Hung T. Dinh, Sabu K. Syed, James S. Watt, Kannappan Ramu
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Patent number: 11461400Abstract: A method includes receiving a natural language query requesting data from a message oriented middleware infrastructure comprising a plurality of message oriented middleware providers, and analyzing the natural language query to determine one or more types of the data being requested. In the method, one or more stored queries corresponding to the determined one or more types of the data are identified. The one or more stored queries are in native command formats corresponding to respective ones of the plurality of message oriented middleware providers. The method also includes executing the identified one or more stored queries in the native command formats to retrieve the data from the plurality of message oriented middleware providers, and providing a response to the natural language query based on the retrieved data to a user via a user interface.Type: GrantFiled: January 7, 2020Date of Patent: October 4, 2022Assignee: Dell Products L.P.Inventors: Hung Dinh, Sabu K. Syed, Satish Ranjan Das, Manikandan Pammal Rathinavelu, Panguluru Vijaya Sekhar, Kannappan Ramu
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Patent number: 11438353Abstract: A method includes monitoring and logging a plurality of transactions between one or more clients and an application programming interface gateway, and analyzing data corresponding to the plurality of transactions using one or more machine learning techniques. The method further includes determining, based on the analyzing, one or more issues corresponding to one or more application programming interfaces associated with the application programming interface gateway and resulting from one or more of the plurality of transactions. In the method, one or more corrective actions are performed to address the one or more issues.Type: GrantFiled: October 31, 2019Date of Patent: September 6, 2022Assignee: Dell Products L.P.Inventors: Hung Dinh, Matthew Christopher Frank, Sabu K. Syed, Manikandan Rathinavelu, Panguluru Vijaya Sekhar, Muhammed R. Mohiuddin, Kannappan Ramu
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Patent number: 11429603Abstract: A method includes receiving a natural language query requesting data from a message oriented middleware infrastructure comprising a plurality of message oriented middleware providers, and analyzing the natural language query to determine one or more types of the data being requested. In the method, one or more queries corresponding to the determined one or more types of the data are dynamically generated. The one or more queries are in native command formats corresponding to respective ones of the plurality of message oriented middleware providers. The method also includes executing the one or more queries in the native command formats to retrieve the data from the plurality of message oriented middleware providers, and providing a response to the natural language query based on the retrieved data to a user via a user interface.Type: GrantFiled: January 7, 2020Date of Patent: August 30, 2022Assignee: Dell Products L.P.Inventors: Hung Dinh, Sabu K. Syed, Satish Ranjan Das, Manikandan Pammal Rathinavelu, Panguluru Vijaya Sekhar, Kannappan Ramu
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Patent number: 11410034Abstract: Methods, apparatus, and processor-readable storage media for cognitive device management using artificial intelligence are provided herein.Type: GrantFiled: October 30, 2019Date of Patent: August 9, 2022Assignee: EMC IP Holding Company LLCInventors: Parminder Singh Sethi, Hung T. Dinh, Sabu K. Syed, Anay Kishore, Kannappan Ramu
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Patent number: 11216911Abstract: Methods, apparatus, and processor-readable storage media for device manufacturing cycle time reduction using machine learning techniques are provided herein. An example computer-implemented method includes obtaining video input related to one or more manufacturing resources in a manufacturing environment; determining availability status information for at least one of the one or more manufacturing resources by applying one or more machine learning models to the obtained video input; and outputting the determined availability status information to at least one user device associated with the manufacturing environment.Type: GrantFiled: October 31, 2019Date of Patent: January 4, 2022Assignee: Dell Products L.P.Inventors: Hung T. Dinh, Rajesh Krishnan, Vijaya P. Sekhar, Sabu K. Syed, Geetha Venkatesan, Sethukarasi Sockalingam, Pradeepta Ranjan Choudhury, Abhijit Mishra, Kannappan Ramu, Jatin Kamlesh Thakkar
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Publication number: 20210406977Abstract: A method includes generating a model for a content taxonomy using one or more machine learning (ML) techniques. The model comprises a plurality of metadata tags for electronic content. In the method, a plurality of electronic content items are received from a plurality of content management systems, and are analyzed using the one or more ML techniques. The method also includes assigning one or more of the plurality of metadata tags to each of the plurality of electronic content items based on the analysis, and transmitting to the plurality of content management systems via one or more application programming interfaces, a plurality of recommendations comprising which of the plurality metadata tags to apply to the plurality of electronic content items.Type: ApplicationFiled: June 30, 2020Publication date: December 30, 2021Inventors: Venkat S. Ramachandran, Naga Kalyan Kambapu, Jonathan Cornish Byerly, Nikhil Reddy Kota, Pradeepta Ranjan Choudhury, Hung Dinh, Kannappan Ramu
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Patent number: 11157380Abstract: Methods, apparatus, and processor-readable storage media for device temperature impact management using machine learning techniques are provided herein. An example computer-implemented method includes obtaining one or more notifications pertaining to temperature information associated with one or more devices; generating one or more predictions pertaining to at least one potential problem with at least one of the one or more devices by applying one or more machine learning models to the one or more obtained notifications; determining one or more automated actions related to the one or more predictions by utilizing at least one neural network to process data associated with temperature control for the at least one device; and automatically initiating the one or more automated actions.Type: GrantFiled: October 28, 2019Date of Patent: October 26, 2021Assignee: Dell Products L.P.Inventors: Parminder Singh Sethi, Hung T. Dinh, Sabu K. Syed, Kannappan Ramu
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Publication number: 20210241151Abstract: Methods, apparatus, and processor-readable storage media for device component management using deep learning techniques are provided herein. An example computer-implemented method includes obtaining telemetry data from one or more enterprise devices; determining, for each of the one or more enterprise devices, values for multiple device attributes by processing the obtained telemetry data; generating, for each of the one or more enterprise devices, at least one prediction related to lifecycle information of at least one device component by processing the determined attribute values using one or more deep learning techniques; and performing one or more automated actions based at least in part on the at least one generated prediction.Type: ApplicationFiled: January 30, 2020Publication date: August 5, 2021Inventors: Parminder Singh Sethi, Akanksha Goel, Hung T. Dinh, Sabu K. Syed, James S. Watt, Kannappan Ramu
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Publication number: 20210241087Abstract: Methods, apparatus, and processor-readable storage media for data integration demand management using artificial intelligence are provided herein. An example computer-implemented method includes obtaining at least one data integration demand, wherein the at least one data integration demand comprises textual information provided by at least one user; determining multiple parameters of the at least one data integration demand by applying one or more machine learning natural language processing techniques to at least a portion of the textual information provided by the at least one user; generating at least one delivery date prediction for the at least one data integration demand by applying one or more artificial intelligence techniques to the multiple determined parameters of the at least one data integration demand; and performing one or more automated actions based at least in part on the at least one generated delivery date prediction.Type: ApplicationFiled: January 30, 2020Publication date: August 5, 2021Inventors: Hung T. Dinh, Sandeep Govindraj, Ranjani Muthyam Venkata, Sabu K. Syed, Kannappan Ramu
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Publication number: 20210209102Abstract: A method includes receiving a natural language query requesting data from a message oriented middleware infrastructure comprising a plurality of message oriented middleware providers, and analyzing the natural language query to determine one or more types of the data being requested. In the method, one or more queries corresponding to the determined one or more types of the data are dynamically generated. The one or more queries are in native command formats corresponding to respective ones of the plurality of message oriented middleware providers. The method also includes executing the one or more queries in the native command formats to retrieve the data from the plurality of message oriented middleware providers, and providing a response to the natural language query based on the retrieved data to a user via a user interface.Type: ApplicationFiled: January 7, 2020Publication date: July 8, 2021Inventors: Hung Dinh, Sabu K. Syed, Satish Ranjan Das, Manikandan Pammal Rathinavelu, Panguluru Vijaya Sekhar, Kannappan Ramu
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Publication number: 20210209170Abstract: A method includes receiving a natural language query requesting data from a message oriented middleware infrastructure comprising a plurality of message oriented middleware providers, and analyzing the natural language query to determine one or more types of the data being requested. In the method, one or more stored queries corresponding to the determined one or more types of the data are identified. The one or more stored queries are in native command formats corresponding to respective ones of the plurality of message oriented middleware providers. The method also includes executing the identified one or more stored queries in the native command formats to retrieve the data from the plurality of message oriented middleware providers, and providing a response to the natural language query based on the retrieved data to a user via a user interface.Type: ApplicationFiled: January 7, 2020Publication date: July 8, 2021Inventors: Hung Dinh, Sabu K. Syed, Satish Ranjan Das, Manikandan Pammal Rathinavelu, Panguluru Vijaya Sekhar, Kannappan Ramu
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Patent number: 11038786Abstract: A method includes receiving a plurality of performance metrics from a data streaming infrastructure. The data streaming infrastructure comprises one or more message producers, one or more message brokers and one or more message consumers. In the method, the plurality of performance metrics are analyzed in a machine learning model, and one or more performance issues with the data streaming infrastructure are predicted based on the analyzing.Type: GrantFiled: October 31, 2019Date of Patent: June 15, 2021Assignee: Dell Products LP.Inventors: Hung Dinh, Sabu K. Syed, Bijan Kumar Mohanty, Satish Ranjan Das, Krishna Mohan Akkinapalli, Craig J. Van Der Bogart, Reddeppa Kollu, Kannappan Ramu
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Publication number: 20210133594Abstract: Methods, apparatus, and processor-readable storage media for augmenting end-to-end transaction visibility using artificial intelligence are provided herein. An example computer-implemented method includes obtaining data related to multiple transaction flows across multiple data sources within an enterprise system, and forecasting anomalies in connection with at least one of the transaction flows by applying one or more of a first set of artificial intelligence techniques to portions of the obtained data, wherein applying the artificial intelligence techniques is based on which of the multiple data sources correspond to the portions of the obtained data. Such a method further includes determining automated actions to be performed in connection with the forecasted anomalies by applying one or more of a second set of artificial intelligence techniques to portions of the obtained data related to the forecasted anomalies, and performing the automated actions in connection with the at least one transaction flow.Type: ApplicationFiled: October 30, 2019Publication date: May 6, 2021Inventors: Hung T. Dinh, Kiran Kumar Pidugu, Sabu K. Syed, Lakshman Kumar Tiwari, Geetha Venkatesan, Sourav Datta, Vijaya P. Sekhar, Kannappan Ramu, Jatin Kamlesh Thakkar
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Publication number: 20210133930Abstract: Methods, apparatus, and processor-readable storage media for device manufacturing cycle time reduction using machine learning techniques are provided herein. An example computer-implemented method includes obtaining video input related to one or more manufacturing resources in a manufacturing environment; determining availability status information for at least one of the one or more manufacturing resources by applying one or more machine learning models to the obtained video input; and outputting the determined availability status information to at least one user device associated with the manufacturing environment.Type: ApplicationFiled: October 31, 2019Publication date: May 6, 2021Inventors: Hung T. Dinh, Rajesh Krishnan, Vijaya P. Sekhar, Sabu K. Syed, Geetha Venkatesan, Sethukarasi Sockalingam, Pradeepta Ranjan Choudhury, Abhijit Mishra, Kannappan Ramu, Jatin Kamlesh Thakkar
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Publication number: 20210135966Abstract: A method includes receiving a plurality of performance metrics from a data streaming infrastructure. The data streaming infrastructure comprises one or more message producers, one or more message brokers and one or more message consumers. In the method, the plurality of performance metrics are analyzed in a machine learning model, and one or more performance issues with the data streaming infrastructure are predicted based on the analyzing.Type: ApplicationFiled: October 31, 2019Publication date: May 6, 2021Inventors: Hung Dinh, Sabu K. Syed, Bijan Kumar Mohanty, Satish Ranjan Das, Krishna Mohan Akkinapalli, Craig J. Van Der Bogart, Reddeppa Kollu, Kannappan Ramu
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Publication number: 20210133554Abstract: Methods, apparatus, and processor-readable storage media for cognitive device management using artificial intelligence are provided herein.Type: ApplicationFiled: October 30, 2019Publication date: May 6, 2021Inventors: Parminder Singh Sethi, Hung T. Dinh, Sabu K. Syed, Anay Kishore, Kannappan Ramu
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Publication number: 20210136095Abstract: A method includes monitoring and logging a plurality of transactions between one or more clients and an application programming interface gateway, and analyzing data corresponding to the plurality of transactions using one or more machine learning techniques. The method further includes determining, based on the analyzing, one or more issues corresponding to one or more application programming interfaces associated with the application programming interface gateway and resulting from one or more of the plurality of transactions. In the method, one or more corrective actions are performed to address the one or more issues.Type: ApplicationFiled: October 31, 2019Publication date: May 6, 2021Inventors: Hung Dinh, Matthew Christopher Frank, Sabu K. Syed, Manikandan Rathinavelu, Panguluru Vijaya Sekhar, Muhammed R. Mohiuddin, Kannappan Ramu