Engine to propagate data across systems

    公开(公告)号:US11528341B2

    公开(公告)日:2022-12-13

    申请号:US17533351

    申请日:2021-11-23

    摘要: Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

    Cognitive automation platform for dynamic resource management and control

    公开(公告)号:US11423339B2

    公开(公告)日:2022-08-23

    申请号:US16827825

    申请日:2020-03-24

    IPC分类号: G06Q10/06 G06N20/00 G06F9/50

    摘要: Systems for using cognitive automation techniques to generate resource recommendations are provided. In some examples, current resource data may be received. The current resource data may include current staffing data, skills associated with current staff, and the like. In some examples, environmental condition data may also be received. The environmental condition data may include current weather information, predicted weather information, power outage information, and the like. The resource data and environmental data may be analyzed using cognitive automation techniques to identify and/or generate one or more resource recommendations. The resource recommendations may include adjustments to staffing, modification of locations at which processes are performed, and the like. The identified or generated recommendations may be transmitted to one or more computing devices. In some examples, feedback data may be received based on the recommendations and the cognitive automation model may be updated and/or validated based on the feedback data.

    Engine to propagate data across systems

    公开(公告)号:US11706311B2

    公开(公告)日:2023-07-18

    申请号:US17975064

    申请日:2022-10-27

    摘要: Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

    Engine to Propagate Data Across Systems

    公开(公告)号:US20220086250A1

    公开(公告)日:2022-03-17

    申请号:US17533351

    申请日:2021-11-23

    摘要: Aspects of the disclosure relate to cognitive automation-based engine processing to propagate data across multiple systems via a private network to overcome technical system, resource consumption, and architecture limitations. Data to be propagated can be manually input or extracted from a digital file. The data can be parsed by analyzing for correct syntax, normalized into first through sixth normal forms, segmented into packets for efficient data transmission, validated to ensure that the data satisfies defined formats and input criteria, and distributed into a plurality of data stores coupled to the private network, thereby propagating data without repetitive manual entry. The data may also be enriched by, for example, correcting for any errors or linking with other potentially related data. Based on data enrichment, recommendations of additional target(s) for propagation of data can be identified. Reports may also be generated. The cognitive automation may be performed in real-time to expedite processing.

    Cognitive Automation Platform for Dynamic Resource Management and Control

    公开(公告)号:US20210304088A1

    公开(公告)日:2021-09-30

    申请号:US16827825

    申请日:2020-03-24

    IPC分类号: G06Q10/06 G06F9/50 G06N20/00

    摘要: Systems for using cognitive automation techniques to generate resource recommendations are provided. In some examples, current resource data may be received. The current resource data may include current staffing data, skills associated with current staff, and the like. In some examples, environmental condition data may also be received. The environmental condition data may include current weather information, predicted weather information, power outage information, and the like. The resource data and environmental data may be analyzed using cognitive automation techniques to identify and/or generate one or more resource recommendations. The resource recommendations may include adjustments to staffing, modification of locations at which processes are performed, and the like. The identified or generated recommendations may be transmitted to one or more computing devices. In some examples, feedback data may be received based on the recommendations and the cognitive automation model may be updated and/or validated based on the feedback data.