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US Patent 12105728 Extensible data objects for use in machine learning models

Patent 12105728 was granted and assigned to DeepSee.ai on October, 2024 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
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DeepSee.ai
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Current Assignee
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DeepSee.ai
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
121057280
Patent Inventor Names
Eduardo James Sagra0
Wacey T. Richards0
Stephen W. Shillingford0
Ryan W. McQueen0
Max K. Goff0
Bryan W. Sparks0
Michael Ephraim Kiemel0
Date of Patent
October 1, 2024
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Patent Application Number
174752040
Date Filed
September 14, 2021
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Patent Citations
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US Patent 10489439 System and method for entity extraction from semi-structured text documents
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US Patent 10534825 Named entity-based document recommendations
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US Patent 10614345 Machine learning based extraction of partition objects from electronic documents
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US Patent 10657368 Automatic human-emulative document analysis
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US Patent 10726374 Risk prediction based on automated analysis of documents
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US Patent 10755045 Automatic human-emulative document analysis enhancements
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US Patent 10810709 Systems and methods for improving the quality of text documents using artificial intelligence
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US Patent 10848494 Compliance boundaries for multi-tenant cloud environment
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...
Patent Primary Examiner
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Miranda Le
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CPC Code
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G06F 16/353
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G06F 16/289
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G06F 16/258
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Patent abstract

Systems and methods are described herein for creating a data object for each of a plurality of imported unstructured data files. Each data object may expressly include one of the unstructured data files. Preprocessing subsystems and/or machine learning algorithms and subsystems process the data to generate or otherwise identify structured insight features. The system updates each data object to expressly include the structured insight features.

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