Patents by Inventor Swapna Sourav Rout
Swapna Sourav Rout 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: 11915505Abstract: Systems, methods, and computer program products may be configured to generate a set of related document objects for a predictive entity and/or to generate an optimal document sequence for a set of related document objects. In one embodiment, for example, a set of related document objects for a predictive entity is generated by processing entity metadata features associated with the predictive entity using an entity-document correlation machine learning model, and an optimal document sequence is generated for the set of related document objects by processing the set of related document objects using a document sequence optimization machine learning model.Type: GrantFiled: October 20, 2022Date of Patent: February 27, 2024Assignee: Optum Technology, Inc.Inventors: Swapna Sourav Rout, Sharlene L. Tan, Vamsi Bhandaru, Vineet Shukla, Akshaya D. N, Kartik Chaudhary
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Patent number: 11663206Abstract: There is a need for more effective and efficient detection of cross-data-column relationships. This need can be addressed by, for example, techniques for detecting cross-data-column data relationships that utilize at least one of feature-based similarity models and deep-learning-based similarity models. The cross-data-column data relationships may be displayed to an end-user using a cross-column relationship detection user interface.Type: GrantFiled: August 12, 2022Date of Patent: May 30, 2023Assignee: Optum Technology, Inc.Inventors: Swapna Sourav Rout, Sruti Rallapalli, Mrinalini M, Kirk Michael Wroblewski, Bhuvaneshwari Atti Janakiram
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Publication number: 20230153280Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis operations. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data transformation operations by machine learning models, where the predictive data transformation is performed based at least in part on a cross comparison of a pair of columns, accounting for the similarity of both the column names and the column values, inferred by the outputs of a machine learning model. Additionally, certain embodiments of the present invention utilize systems, methods, and computer program products that perform anomaly detection by using machine learning models that operate based at least in part on a comparison of the fixed-size representation of the column values resulting from the machine learning model.Type: ApplicationFiled: November 18, 2021Publication date: May 18, 2023Inventors: Swapna Sourav ROUT, Sudeep CHOUDHARY, Ankit VARSHNEY, Snigdha Sree BORRA
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Publication number: 20230138648Abstract: There is a need for more effective and efficient detection of cross-data-column relationships. This need can be addressed by, for example, techniques for detecting cross-data-column data relationships that utilize at least one of feature-based similarity models and deep-learning-based similarity models. The cross-data-column data relationships may be displayed to an end-user using a cross-column relationship detection user interface.Type: ApplicationFiled: December 28, 2022Publication date: May 4, 2023Inventors: Swapna Sourav Rout, Sruti Rallapalli, Mrinalini M, Kirk Michael Wroblewski, Bhuvaneshwari Atti Janakiram
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Publication number: 20230134354Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for database integration. For example, certain embodiments of the present invention utilize systems, methods, and computer program products that perform database integration by utilizing attention-based encoder-decoder machine learning models, such as by performing cross-row linking/similarity determination operations based at least in part on row-wise representations that are generated by combining column-wise representations that are generated by an encoder sub-model of an attention-based encoder-decoder machine learning model, and/or by performing cross-column linking/similarity determination operations based at least in part on column-wise representations that are generated based at least in part on attention scores generated by vertical self-attention sub-models of an attention-based encoder-decoder machine learning model.Type: ApplicationFiled: November 2, 2021Publication date: May 4, 2023Inventors: Swapna Sourav Rout, Sudeep Choudhary, Ankit Varshney
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Publication number: 20230062114Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis with respect to structured data objects. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis with respect to structured data objects by utilizing at least one of cross-table data similarity score generation machine learning models and various machine learning frameworks for cross-database similarity determination.Type: ApplicationFiled: August 26, 2021Publication date: March 2, 2023Inventors: Swapna Sourav Rout, Ankit Varshney, Sudeep Choudhary, Ravi Kumar Raju Gottumukkala, Sreedhar Terala
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Publication number: 20230054624Abstract: Systems, methods, and computer program products may be configured to generate a set of related document objects for a predictive entity and/or to generate an optimal document sequence for a set of related document objects. In one embodiment, for example, a set of related document objects for a predictive entity is generated by processing entity metadata features associated with the predictive entity using an entity-document correlation machine learning model, and an optimal document sequence is generated for the set of related document objects by processing the set of related document objects using a document sequence optimization machine learning model.Type: ApplicationFiled: October 20, 2022Publication date: February 23, 2023Inventors: Swapna Sourav Rout, Sharlene L. Tan, Vamsi Bhandaru, Vineet Shukla, Akshaya D. N, Kartik Chaudhary
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Publication number: 20230059947Abstract: A method for managing sleep of a user comprises obtaining, by a computing system, sleep data and environmental data for the user; determining, by the computing system, a sleep state of the user based on the sleep data; determining, by the computing system, one or more awakening actions based on the sleep state of the user and the environmental data; and causing one or more devices in an environment of the user to perform the one or more awakening actions to awaken the user.Type: ApplicationFiled: August 10, 2021Publication date: February 23, 2023Inventors: Raghav Bali, Ninad D. Sathaye, Swapna Sourav Rout
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Publication number: 20230049221Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive data analysis with respect to structured data objects. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis with respect to structured data objects by utilizing at least one of cross-table data similarity score generation machine learning models and unsupervised anomalous table row detection machine learning models.Type: ApplicationFiled: August 13, 2021Publication date: February 16, 2023Inventors: Swapna Sourav Rout, Ankit Varshney, Sudeep Choudhary, Ravi Kumar Raju Gottumukkala
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Publication number: 20230035569Abstract: There is a need for more effective and efficient detection of cross-data-column relationships. This need can be addressed by, for example, techniques for detecting cross-data-column data relationships that utilize at least one of feature-based similarity models and deep-learning-based similarity models. The cross-data-column data relationships may be displayed to an end-user using a cross-column relationship detection user interface.Type: ApplicationFiled: August 12, 2022Publication date: February 2, 2023Inventors: Swapna Sourav Rout, Sruti Rallapalli, Mrinalini M, Kirk Michael Wroblewski, Bhuvaneshwari Atti Janakiram
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Patent number: 11567976Abstract: There is a need for more effective and efficient detection of cross-data-column relationships. This need can be addressed by, for example, techniques for detecting cross-data-column data relationships that utilize at least one of feature-based similarity models and deep-learning-based similarity models. The cross-data-column data relationships may be displayed to an end-user using a cross-column relationship detection user interface.Type: GrantFiled: June 18, 2020Date of Patent: January 31, 2023Assignee: OPTUM TECHNOLOGY, INC.Inventors: Swapna Sourav Rout, Sruti Rallapalli, Mrinalini M, Kirk Michael Wroblewski, Bhuvaneshwari Atti Janakiram
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Publication number: 20220391451Abstract: Systems and methods are configured to generate a set of related document objects for a predictive entity and/or to generate an optimal document sequence for a set of related document objects. In one embodiment, a set of related document objects for a predictive entity is generated by processing entity metadata features associated with the predictive entity using an entity-document correlation machine learning model, and an optimal document sequence is generated for the set of related document objects by processing the set of related document objects using a document sequence optimization machine learning model.Type: ApplicationFiled: August 19, 2022Publication date: December 8, 2022Inventors: Swapna Sourav Rout, Sharlene L. Tan, Vamsi Bhandaru, Vineet Shukla, Akshaya D. N, Kartik Chaudhary
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Publication number: 20220382749Abstract: There is a need for more effective and efficient detection of cross-data-column relationships. This need can be addressed by, for example, techniques for detecting cross-data-column data relationships that utilize at least one of feature-based similarity models and deep-learning-based similarity models. The cross-data-column data relationships may be displayed to an end-user using a cross-column relationship detection user interface.Type: ApplicationFiled: August 12, 2022Publication date: December 1, 2022Inventors: Swapna Sourav Rout, Sruti Rallapalli, Mrinalini M, Kirk Michael Wroblewski, Bhuvaneshwari Atti Janakiram
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Patent number: 11508171Abstract: Systems and methods are configured to generate a set of related document objects for a predictive entity and/or to generate an optimal document sequence for a set of related document objects. In one embodiment, a set of related document objects for a predictive entity is generated by processing entity metadata features associated with the predictive entity using an entity-document correlation machine learning model, and an optimal document sequence is generated for the set of related document objects by processing the set of related document objects using a document sequence optimization machine learning model.Type: GrantFiled: September 9, 2020Date of Patent: November 22, 2022Assignee: Optum Technology, Inc.Inventors: Swapna Sourav Rout, Sharlene L. Tan, Vamsi Bhandaru, Vineet Shukla, Akshaya D. N, Kartik Chaudhary
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Patent number: 11461316Abstract: There is a need for more effective and efficient detection of cross-data-column relationships. This need can be addressed by, for example, techniques for detecting cross-data-column data relationships that utilize at least one of feature-based similarity models and deep-learning-based similarity models. The cross-data-column data relationships may be displayed to an end-user using a cross-column relationship detection user interface.Type: GrantFiled: June 16, 2020Date of Patent: October 4, 2022Assignee: Optum Technology, Inc.Inventors: Swapna Sourav Rout, Sruti Rallapalli, Mrinalini M, Kirk Michael Wroblewski, Bhuvaneshwari Atti Janakiram
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Patent number: 11455347Abstract: Systems and methods are configured to generate a set of related document objects for a predictive entity and/or to generate an optimal document sequence for a set of related document objects. In one embodiment, a set of related document objects for a predictive entity is generated by processing entity metadata features associated with the predictive entity using an entity-document correlation machine learning model, and an optimal document sequence is generated for the set of related document objects by processing the set of related document objects using a document sequence optimization machine learning model.Type: GrantFiled: September 9, 2020Date of Patent: September 27, 2022Assignee: Optum Technology, Inc.Inventors: Swapna Sourav Rout, Sharlene L. Tan, Vamsi Bhandaru, Vineet Shukla, Akshaya D. N, Kartik Chaudhary
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Publication number: 20220222570Abstract: There is a need for more effective and efficient performing classification-based predictive data analysis on named data collections. This need can be addressed by, for example, solutions for performing classification-based predictive data analysis on named data collections that utilize at least one of techniques for generating column classification machine learning models to perform column classification, techniques for generating column classification machine learning models to perform anomaly detection, techniques for utilizing trained column classification machine learning models to perform column classification, and techniques for utilizing trained column classification machine learning models to perform anomaly detection.Type: ApplicationFiled: January 12, 2021Publication date: July 14, 2022Inventors: Swapna Sourav Rout, Sudeep Choudhary, Subhadip Maji, Vineet Shukla, Ravi Kumar Raju Gottumukkala
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Publication number: 20220222571Abstract: There is a need for more effective and efficient performing classification-based predictive data analysis on named data collections. This need can be addressed by, for example, solutions for performing classification-based predictive data analysis on named data collections that utilize at least one of techniques for generating column classification machine learning models to perform column classification, techniques for generating column classification machine learning models to perform anomaly detection, techniques for utilizing trained column classification machine learning models to perform column classification, and techniques for utilizing trained column classification machine learning models to perform anomaly detection.Type: ApplicationFiled: January 12, 2021Publication date: July 14, 2022Inventors: Swapna Sourav Rout, Sudeep Choudhary, Subhadip Maji, Vineet Shukla, Ravi Kumar Raju Gottumukkala, John Markson
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Publication number: 20220075831Abstract: Systems and methods are configured to generate a set of related document objects for a predictive entity and/or to generate an optimal document sequence for a set of related document objects. In one embodiment, a set of related document objects for a predictive entity is generated by processing entity metadata features associated with the predictive entity using an entity-document correlation machine learning model, and an optimal document sequence is generated for the set of related document objects by processing the set of related document objects using a document sequence optimization machine learning model.Type: ApplicationFiled: September 9, 2020Publication date: March 10, 2022Inventors: Swapna Sourav Rout, Sharlene L. Tan, Vamsi Bhandaru, Vineet Shukla, Akshaya D. N, Kartik Chaudhary
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Publication number: 20220076007Abstract: Systems and methods are configured to generate a set of related document objects for a predictive entity and/or to generate an optimal document sequence for a set of related document objects. In one embodiment, a set of related document objects for a predictive entity is generated by processing entity metadata features associated with the predictive entity using an entity-document correlation machine learning model, and an optimal document sequence is generated for the set of related document objects by processing the set of related document objects using a document sequence optimization machine learning model.Type: ApplicationFiled: September 9, 2020Publication date: March 10, 2022Inventors: Swapna Sourav Rout, Sharlene L. Tan, Vamsi Bhandaru, Vineet Shukla, Akshaya D. N, Kartik Chaudhary