Patents by Inventor Vijeth SRINIVAS HEGDE
Vijeth SRINIVAS HEGDE 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: 11900075Abstract: In some implementations, a device may generate, based at least in part on a first set of inputs, a serverless software development environment associated with a set of cloud resources. The device may generate, based at least in part on a first machine learning model, a technology stack recommendation having a set of associated tools for performing a software development task. The device may instantiate the selected technology stack in the serverless software development environment and generate a set of applications based at least in part on executing the set of tools. The device may deploy the set of applications in one or more serverless application environments. The device may use machine learning to observe deployed applications, detect hidden anomalies, and perform root-cause analysis, thereby providing a lean and sustainable serverless environment.Type: GrantFiled: March 31, 2022Date of Patent: February 13, 2024Assignee: Accenture Global Solutions LimitedInventors: Rajendra Prasad Tanniru, Aditi Kulkarni, Koushik M. Vijayaraghavan, Vijeth Srinivas Hegde, Ravindra Kabbinale, Sreenath Kothavoor, Amrutha Pervody Bhat, Meghana B Srinath, Ravi Kiran Singh, Dilip Krishnan, Naveen Raj K P, Sumanth Channegowda, Vinay Chamarthi, Lakshmi Srinivasan, Santhosh Mv
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Patent number: 11860721Abstract: A device may receive software data identifying current logs and events associated with software products utilized by an entity and may process the software data, with a machine learning model, to generate error severity scores for the software products. The machine learning model may be trained based on historical software data identifying events and logs associated with software products utilized by the entity and based on a combination of historical health scores, historical sentiment scores, and historical dissimilarity scores for the software products. The device may process the error severity scores, with a prioritization model, to generate prioritized error scores and may process the error severity scores and the prioritized error scores, with a root cause analysis model, to generate root cause data identifying root causes associated with the error severity scores. The device may perform one or more actions based on the root cause data.Type: GrantFiled: July 20, 2021Date of Patent: January 2, 2024Assignee: Accenture Global Solutions LimitedInventors: Ravindra Kabbinale, Sherin Varghese, Santhosh MV, Bhavana V Gudi, Sneha S. Shekar, Shruthi Dhivakaran, Rajendra Prasad Tanniru, Aditi Kulkarni, Vijeth Srinivas Hegde, Koushik M. Vijayaraghavan
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Publication number: 20230315397Abstract: In some implementations, a device may generate, based at least in part on a first set of inputs, a serverless software development environment associated with a set of cloud resources. The device may generate, based at least in part on a first machine learning model, a technology stack recommendation having a set of associated tools for performing a software development task. The device may instantiate the selected technology stack in the serverless software development environment and generate a set of applications based at least in part on executing the set of tools. The device may deploy the set of applications in one or more serverless application environments. The device may use machine learning to observe deployed applications, detect hidden anomalies, and perform root-cause analysis, thereby providing a lean and sustainable serverless environment.Type: ApplicationFiled: March 31, 2022Publication date: October 5, 2023Inventors: Rajendra PRASAD TANNIRU, Aditi KULKARNI, Koushik M. VIJAYARAGHAVAN, Vijeth SRINIVAS HEGDE, Ravindra KABBINALE, Sreenath KOTHAVOOR, Amrutha PERVODY BHAT, Meghana B SRINATH, Ravi Kiran SINGH, Dilip KRISHNAN, Naveen RAJ K P, Sumanth CHANNEGOWDA, Vinay CHAMARTHI, Lakshmi SRINIVASAN, Santhosh MV
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Publication number: 20230021373Abstract: A device may receive software data identifying current logs and events associated with software products utilized by an entity and may process the software data, with a machine learning model, to generate error severity scores for the software products. The machine learning model may be trained based on historical software data identifying events and logs associated with software products utilized by the entity and based on a combination of historical health scores, historical sentiment scores, and historical dissimilarity scores for the software products. The device may process the error severity scores, with a prioritization model, to generate prioritized error scores and may process the error severity scores and the prioritized error scores, with a root cause analysis model, to generate root cause data identifying root causes associated with the error severity scores. The device may perform one or more actions based on the root cause data.Type: ApplicationFiled: July 20, 2021Publication date: January 26, 2023Inventors: Ravindra KABBINALE, Sherin VARGHESE, Santhosh MV, Bhavana V. GUDI, Sneha S. SHEKAR, Shruthi DHIVAKARAN, Rajendra PRASAD TANNIRU, Aditi KULKARNI, Vijeth SRINIVAS HEGDE, Koushik M. VIJAYARAGHAVAN
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Patent number: 11308069Abstract: A data management platform may receive an environment configuration for a data environment to be implemented in a data structure, wherein the environment configuration includes requirements of an application. The data management platform may configure, based on the environment configuration, the data environment, to generate a configured data environment. The data management platform may deploy the configured data environment in the data structure. The data management platform may perform one or more tests on data stored in the configured data environment in the data structure to generate one or more test results based on performing the one or more tests on the data. The data management platform may update, based on the one or more test results, the configured data environment, to generate an updated configured data environment, wherein the updated configured data environment meets the requirements of the application.Type: GrantFiled: January 16, 2020Date of Patent: April 19, 2022Assignee: Accenture Global Solutions LimitedInventors: Pragya Sharma, Bhavin Prafulchandra Mehta, Santanu Dutta, Rajesh Thimmappayya Katta, Manish Bachhania, Nilesh Gupta, Subha Pattanayak, Vijeth Srinivas Hegde, Vijayakumar Thandavakrishnan, Ritu Pramod Dalmia
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Patent number: 11190399Abstract: A device may receive, from the client device, provisioning data selected from a user interface and identifying a cloud provider or on premise resources, an infrastructure, applications, tools, and artificial intelligence (AI) assets for provisioning a customized platform. The device may process the provisioning data, with a machine learning model, to identify conflicting or redundant applications, tools, or AI assets and to generate updated provisioning data, and may determine computing resource data identifying computing resources required for execution of the applications, tools, and AI assets. The device may obtain the applications, tools, and AI assets from a data structure, and may generate a customized template based on the computing resources and the applications, tools, and AI assets. The device may execute the customized template to provision the computing resources with the applications, tools, and AI assets and to create the customized platform.Type: GrantFiled: June 11, 2020Date of Patent: November 30, 2021Assignee: Accenture Global Solutions LimitedInventors: Ravindra Kabbinale, Aditi Kulkarni, Vijeth Srinivas Hegde, Rajendra Prasad Tanniru, Koushik M Vijayaraghavan, Sanjay Singatalur, Suhas Nagaraju, Amrutha Pervody Bhat, Rajalakshmy Iyer, Sreenath Kothavoor, Haridas Kadaba Srinivasan, A. Akhila, Narasimhachar Goutham
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Publication number: 20210344559Abstract: A device may receive, from the client device, provisioning data selected from a user interface and identifying a cloud provider or on premise resources, an infrastructure, applications, tools, and artificial intelligence (AI) assets for provisioning a customized platform. The device may process the provisioning data, with a machine learning model, to identify conflicting or redundant applications, tools, or AI assets and to generate updated provisioning data, and may determine computing resource data identifying computing resources required for execution of the applications, tools, and AI assets. The device may obtain the applications, tools, and AI assets from a data structure, and may generate a customized template based on the computing resources and the applications, tools, and AI assets. The device may execute the customized template to provision the computing resources with the applications, tools, and AI assets and to create the customized platform.Type: ApplicationFiled: June 11, 2020Publication date: November 4, 2021Inventors: Ravindra KABBINALE, Aditi KULKARNI, Vijeth SRINIVAS HEGDE, Rajendra Prasad TANNIRU, Koushik M. VIJAYARAGHAVAN, Sanjay SINGATALUR, Suhas NAGARAJU, Amrutha PERVODY BHAT, Rajalakshmy IYER, Sreenath KOTHAVOOR, Haridas Kadaba SRINIVASAN, A. AKHILA, Narasimhachar GOUTHAM
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Publication number: 20210224245Abstract: A data management platform may receive an environment configuration for a data environment to be implemented in a data structure, wherein the environment configuration includes requirements of an application. The data management platform may configure, based on the environment configuration, the data environment, to generate a configured data environment. The data management platform may deploy the configured data environment in the data structure. The data management platform may perform one or more tests on data stored in the configured data environment in the data structure to generate one or more test results based on performing the one or more tests on the data. The data management platform may update, based on the one or more test results, the configured data environment, to generate an updated configured data environment, wherein the updated configured data environment meets the requirements of the application.Type: ApplicationFiled: January 16, 2020Publication date: July 22, 2021Inventors: Pragya SHARMA, Bhavin Prafulchandra MEHTA, Santanu DUTTA, Rajesh Thimmappayya KATTA, Manish BACHHANIA, Nilesh GUPTA, Subha PATTANAYAK, Vijeth SRINIVAS HEGDE, Vijayakumar THANDAVAKRISHNAN, Ritu Pramod DALMIA
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Patent number: 11029947Abstract: A device may receive data associated with a software development platform, and may correlate the data to generate correlated data. The device may train a first model, with the correlated data, to generate a software impact analyzer model, and may train a second model, with the correlated data, to generate a software development behavior model. The device may receive data identifying a new software requirement associated with the software development platform, and may process the data identifying the new software requirement, with the software impact analyzer model, to identify a file or a module impacted by the new software requirement. The device may process data identifying the file or the module, with the software development behavior model, to identify a developer to handle the new software requirement, and may perform one or more actions based on the data identifying the file or the module and data identifying the developer.Type: GrantFiled: August 30, 2019Date of Patent: June 8, 2021Assignee: Accenture Global Solutions LimitedInventors: Sundar Prasad Jayaraman, Ravindra Kabbinale, Suhas Nagaraju, Amrutha Pervody Bhat, Smitha Ka, Divya R. Purushotham, Sanjay Singatalur, Vijeth Srinivas Hegde, Aditi Kulkarni, Rajendra T. Prasad, Koushik M Vijayaraghavan
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Publication number: 20210064361Abstract: A device may receive data associated with a software development platform, and may correlate the data to generate correlated data. The device may train a first model, with the correlated data, to generate a software impact analyzer model, and may train a second model, with the correlated data, to generate a software development behavior model. The device may receive data identifying a new software requirement associated with the software development platform, and may process the data identifying the new software requirement, with the software impact analyzer model, to identify a file or a module impacted by the new software requirement. The device may process data identifying the file or the module, with the software development behavior model, to identify a developer to handle the new software requirement, and may perform one or more actions based on the data identifying the file or the module and data identifying the developer.Type: ApplicationFiled: August 30, 2019Publication date: March 4, 2021Inventors: Sundar Prasad JAYARAMAN, Ravindra KABBINALE, Suhas NAGARAJU, Amrutha PERVODY BHAT, Smitha KA, Divya R. PURUSHOTHAM, Sanjay SINGATALUR, Vijeth SRINIVAS HEGDE, Aditi KULKARNI, Rajendra T. PRASAD, Koushik M VIJAYARGHAVAN