Patents by Inventor Scott Buzan
Scott Buzan 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: 11893065Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.Type: GrantFiled: June 10, 2020Date of Patent: February 6, 2024Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: Samuel Cameron Fleming, John E. Bradley, III, Lewis C. Lee, Jared Dirk Sol, Scott Buzan, Timothy Seegan
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Patent number: 11893505Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.Type: GrantFiled: June 10, 2020Date of Patent: February 6, 2024Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: Samuel Cameron Fleming, David Craig Andrews, John E. Bradley, III, Scott Buzan, Jared Dirk Sol, Timothy Seegan, Joseph Henderson Ashmore, Christopher Ali Mirabzadeh
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Publication number: 20230409647Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.Type: ApplicationFiled: June 10, 2020Publication date: December 21, 2023Inventors: Samuel Cameron Fleming, John E. Bradley, III, Lewis C. Lee, Jared Dirk Sol, Scott Buzan, Timothy Seegan
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Patent number: 11776291Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.Type: GrantFiled: June 10, 2020Date of Patent: October 3, 2023Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: Samuel Cameron Fleming, David Craig Andrews, John E. Bradley, III, Lewis C. Lee, Jared Dirk Sol, Timothy Seegan, Scott Buzan
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Publication number: 20220398857Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.Type: ApplicationFiled: June 24, 2022Publication date: December 15, 2022Inventors: Samuel Cameron Fleming, David Craig Andrews, Jared Dirk Sol, Scott Buzan, Timothy Seegan, Christopher Ali Mirabzadeh
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Patent number: 11373424Abstract: Systems and methods for generation and use of document analysis architectures are disclosed. A model builder component may be utilized to receiving user input data for labeling a set of documents as in class or out of class. That user input data may be utilized to train one or more classification models, which may then be utilized to predict classification of other documents. Trained models may be incorporated into a model taxonomy for searching and use by other users for document analysis purposes.Type: GrantFiled: June 10, 2020Date of Patent: June 28, 2022Assignee: AON RISK SERVICES, INC. OF MARYLANDInventors: Samuel Cameron Fleming, David Craig Andrews, Jared Dirk Sol, Scott Buzan, Timothy Seegan, Christopher Ali Mirabzadeh
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Patent number: 10109297Abstract: A virtual assistant may communicate with a user in a conversational manner based on context. For instances, a virtual assistant may be presented to a user to enable a conversation between the virtual assistant and the user. A response to user input that is received during the conversation may be determined based on contextual values related to the conversation or system that implements the virtual assistant.Type: GrantFiled: August 25, 2014Date of Patent: October 23, 2018Assignee: VERINT AMERICAS INC.Inventors: Fred Brown, Tanya M Miller, Mark Zartler, Scott Buzan
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Patent number: 9589579Abstract: Various embodiments provide a tool, referred to herein as “Active Lab” that can be used to develop, debug, and maintain knowledge bases. These knowledge bases (KBs) can then engage various applications, technology, and communications protocols for the purpose of task automation, real time alerting, system integration, knowledge acquisition, and various forms of peer influence. In at least some embodiments, a KB is used as a virtual assistant that any real person can interact with using their own natural language. The KB can then respond and react however the user wants: answering questions, activating applications, or responding to actions on a web page.Type: GrantFiled: June 11, 2014Date of Patent: March 7, 2017Assignee: Next IT CorporationInventors: Fred Brown, Mark Zartler, Tanya M Miller, Scott Buzan
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Publication number: 20140365407Abstract: A virtual assistant may communicate with a user in a conversational manner based on context. For instances, a virtual assistant may be presented to a user to enable a conversation between the virtual assistant and the user. A response to user input that is received during the conversation may be determined based on contextual values related to the conversation or system that implements the virtual assistant.Type: ApplicationFiled: August 25, 2014Publication date: December 11, 2014Inventors: Fred Brown, Tanya M. Miller, Mark Zartler, Scott Buzan
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Publication number: 20140343924Abstract: Various embodiments provide a tool, referred to herein as “Active Lab” that can be used to develop, debug, and maintain knowledge bases. These knowledge bases (KBs) can then engage various applications, technology, and communications protocols for the purpose of task automation, real time alerting, system integration, knowledge acquisition, and various forms of peer influence. In at least some embodiments, a KB is used as a virtual assistant that any real person can interact with using their own natural language. The KB can then respond and react however the user wants: answering questions, activating applications, or responding to actions on a web page.Type: ApplicationFiled: June 11, 2014Publication date: November 20, 2014Inventors: Fred Brown, Mark Zartler, Tanya M Miller, Scott Buzan