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    ARTIFICIALLY INTELLIGENT SYSTEM EMPLOYING MODULARIZED AND TAXONOMY-BASED CLASSIFICATIONS TO GENERATE AND PREDICT COMPLIANCE-RELATED CONTENT
    1.
    发明申请
    ARTIFICIALLY INTELLIGENT SYSTEM EMPLOYING MODULARIZED AND TAXONOMY-BASED CLASSIFICATIONS TO GENERATE AND PREDICT COMPLIANCE-RELATED CONTENT 有权

    公开(公告)号：US20230126681A1

    公开(公告)日：2023-04-27

    申请号：US18087207

    申请日：2022-12-22

    申请人： Ascent Technologies, Inc.

    发明人： Brian T. Clark ,  Chris Doyle

    IPC分类号： G06F16/35 ,  G06F16/28 ,  G06N20/00 ,  G06F16/2457 ,  G06F40/205 ,  G06F40/30 ,  G06Q10/0639

    摘要： An artificially intelligent system for generating compliance-related content, the system includes monitoring circuitry that receives regulatory compliance data from published regulatory texts; a taxonomy engine that generates taxonomy-based classifications of the regulatory compliance data, the taxonomy-based classifications having a plurality of modules and compliance requirements within each module. The system includes databases storing the taxonomy-based classifications of the regulatory compliance data; a processor that receives at least two of the plurality of modules from the taxonomy-based classifications and processes the compliance requirements within each received module using one or more artificially intelligent processes by mapping semantic relationship pairs between received modules; and scoring circuitry that: (1) produces a respective similarity score for one or more mapped semantic relationship pairs between received modules; and (2) uses the one or more respective similarity scores to generate a set of compliance steps covering compliance requirements from each of the received modules.

    SYSTEM AND METHODS FOR AUTOMATICALLY GENERATING REGULATORY COMPLIANCE MANUAL USING MODULARIZED AND TAXONOMY-BASED CLASSIFICATION OF REGULATORY OBLIGATIONS
    3.
    发明申请
    SYSTEM AND METHODS FOR AUTOMATICALLY GENERATING REGULATORY COMPLIANCE MANUAL USING MODULARIZED AND TAXONOMY-BASED CLASSIFICATION OF REGULATORY OBLIGATIONS 审中-公开
    使用基于模式和基于税收的法规义务分类自动生成法规遵从性手册的系统和方法

    公开(公告)号：US20160350823A1

    公开(公告)日：2016-12-01

    申请号：US15097187

    申请日：2016-04-12

    申请人： Ascent Technologies Inc.

    发明人： Brian T. Clark

    IPC分类号： G06Q30/06 ,  G06Q50/26 ,  G06Q30/00 ,  G06Q50/18

    CPC分类号： G06Q30/0609 ,  G06Q30/018 ,  G06Q30/0185 ,  G06Q50/18 ,  G06Q50/26

    摘要： A system is provided for generating compliance manuals from modularized data and taxonomy-based classifications of regulatory obligations. The system comprises a plurality of databases storing regulatory compliance data and a plurality of processors that process the regulatory compliance data to generate business requirements for complying with regulatory obligations and corresponding compliance information related to the business requirements. A taxonomy engine receives business operating parameters related to a first business and identifies a subset of the business requirements and compliance information related to the business operating parameters of the first business. The taxonomy engine further aggregates the business requirements and the compliance information related to the business operation parameters and generates a compliance manual containing the business requirements and the compliance information for use by the first business.

    摘要翻译： 提供了一个系统，用于从模块化数据和基于分类法的监管义务分类中产生合规性手册。 该系统包括存储监管合规性数据的多个数据库和处理监管合规性数据的多个处理器，以产生符合监管义务的业务需求以及与业务需求相关的相应合规信息。 分类引擎接收与第一业务相关的业务操作参数，并且识别与第一业务的业务操作参数相关的业务需求和合规信息的子集。 分类引擎进一步汇总业务需求和与业务运营参数相关的合规信息，并生成包含业务需求和第一个业务使用的合规信息的合规手册。

    ARTIFICIALLY INTELLIGENT SYSTEM EMPLOYING MODULARIZED AND TAXONOMY-BASED CLASSIFICATIONS TO GENERATED AND PREDICT COMPLIANCE-RELATED CONTENT
    4.
    发明申请
    ARTIFICIALLY INTELLIGENT SYSTEM EMPLOYING MODULARIZED AND TAXONOMY-BASED CLASSIFICATIONS TO GENERATED AND PREDICT COMPLIANCE-RELATED CONTENT 审中-公开

    公开(公告)号：US20200050620A1

    公开(公告)日：2020-02-13

    申请号：US16605433

    申请日：2018-04-18

    申请人： Ascent Technologies, Inc.

    发明人： Brian T. Clark ,  Chris Doyle

    IPC分类号： G06F16/35 ,  G06F17/27 ,  G06Q10/06 ,  G06F16/28 ,  G06F16/2457 ,  G06N20/00

    摘要： A system employing new and improved artificially intelligent system for employing modularized and taxonomy-based classifications to generate compliance-related content. In one embodiment, the system comprises monitoring circuitry that receives regulatory compliance data from one or more regulatory institutions, as well as a taxonomy engine that processes the regulatory compliance data to generate taxonomy-based classifications of the regulatory compliance data comprising a plurality of modules and compliance requirements within each module. In certain embodiments, the system also includes a database storing the taxonomy-based classifications of the regulatory compliance data, and a plurality of processors in operative communication with the database that receive at least two of the plurality of modules from the taxonomy-based classifications and process the compliance requirements within each received module using natural language processing to generate a mapping of semantic relationship pairs between each received module. In certain embodiments, the system also includes scoring circuitry that processes the mapping of semantic relationship pairs between each received module to produce a similarity score for each relationship pair, as well as interface circuitry that uses the similarity scores to generate a set of compliance steps that covers all compliance requirements from each of the received modules.

    SYSTEM AND INTERFACE FOR VIEWING MODULARIZED AND TAXONOMY-BASED CLASSIFICATION OF REGULATORY OBLIGATIONS QUALITATIVE DATA
    5.
    发明申请
    SYSTEM AND INTERFACE FOR VIEWING MODULARIZED AND TAXONOMY-BASED CLASSIFICATION OF REGULATORY OBLIGATIONS QUALITATIVE DATA 审中-公开
    用于查看基于模式和基于税收的监管义务分类的系统和接口

    公开(公告)号：US20160350765A1

    公开(公告)日：2016-12-01

    申请号：US15097176

    申请日：2016-04-12

    申请人： Ascent Technologies Inc.

    发明人： Brian T. Clark

    IPC分类号： G06Q30/00

    CPC分类号： G06Q30/0609 ,  G06Q30/018 ,  G06Q30/0185 ,  G06Q50/18 ,  G06Q50/26

    摘要： A system is provided for viewing modularized data and taxonomy based classifications of regulatory obligations. The system comprises a plurality of databases storing regulatory compliance data and business operation data for a plurality of businesses, and taxonomy engine circuitry that identifies subsets of the stored regulatory compliance data related to the business operation data for a first business user. A system interface displays a dashboard summary of regulatory compliance data related to the first business user's business operation data when the first business user logs into the system, and the summary contains a plurality of a summary of regulations related to the first business user's business operation data, a summary of business requirements related to the first business user's business operation data, a summary of tasks to be completed in order to comply with one or more regulations.

    摘要翻译： 提供了一个系统，用于查看模块化数据和基于分类法的监管义务分类。 该系统包括存储用于多个企业的监管合规性数据和业务操作数据的多个数据库，以及分类法引擎电路，其识别与第一业务用户的业务操作数据相关的所存储的监管合规性数据的子集。 当第一个业务用户登录到系统中时，系统界面显示与第一个业务用户的业务操作数据相关的规范合规性数据的仪表板摘要，该摘要包含与第一个业务用户业务操作数据相关的多个规则摘要 ，与第一个业务用户的业务运营数据相关的业务需求的总结，要完成的任务的总结以符合一个或多个规定。

    Knowledge base platform
    6.
    发明授权
    Knowledge base platform 有权

    公开(公告)号：US11816167B1

    公开(公告)日：2023-11-14

    申请号：US17343687

    申请日：2021-06-09

    申请人： Ascent Technologies Inc.

    发明人： Christopher Allan Doyle ,  Spencer Thomas Allee ,  Brian T. Clark

    IPC分类号： G06F16/93 ,  G06N5/022

    CPC分类号： G06F16/93 ,  G06N5/022

    摘要： An electronic computing system receives a document and identifies steps for processing the document. Each step is associated with a respective machine learning model trained to generate an output. The system subdivides content of the document into a plurality of chunks. For each step and for each chunk, the system applies the respective machine learning model to the chunk to generate an output and a confidence value. The system compares the confidence value to a threshold value. In accordance with a determination that the confidence value exceeds the threshold value, the system stores the output as final output for the chunk and the step. In accordance with a determination that the confidence value does not exceed the threshold value, the system requests user input for the chunk and the step, and the system stores received user input as final output for the chunk and step.

    Artificially intelligent system employing modularized and taxonomy-based classifications to generated and predict compliance-related content
    7.
    发明授权
    Artificially intelligent system employing modularized and taxonomy-based classifications to generated and predict compliance-related content 有权

    公开(公告)号：US11537649B2

    公开(公告)日：2022-12-27

    申请号：US16605433

    申请日：2018-04-18

    申请人： Ascent Technologies, Inc.

    发明人： Brian T. Clark ,  Chris Doyle

    IPC分类号： G06F16/35 ,  G06F16/28 ,  G06N20/00 ,  G06F16/2457 ,  G06F40/205 ,  G06F40/30 ,  G06Q10/06

    摘要： A system employing new and improved artificially intelligent system for employing modularized and taxonomy-based classifications to generate compliance-related content. In one embodiment, the system comprises monitoring circuitry that receives regulatory compliance data from one or more regulatory institutions, as well as a taxonomy engine that processes the regulatory compliance data to generate taxonomy-based classifications of the regulatory compliance data comprising a plurality of modules and compliance requirements within each module. In certain embodiments, the system also includes a database storing the taxonomy-based classifications of the regulatory compliance data, and a plurality of processors in operative communication with the database that receive at least two of the plurality of modules from the taxonomy-based classifications and process the compliance requirements within each received module using natural language processing to generate a mapping of semantic relationship pairs between each received module. In certain embodiments, the system also includes scoring circuitry that processes the mapping of semantic relationship pairs between each received module to produce a similarity score for each relationship pair, as well as interface circuitry that uses the similarity scores to generate a set of compliance steps that covers all compliance requirements from each of the received modules.