CONVERSATIONAL KNOWLEDGE GRAPH POWERED VIRTUAL ASSISTANT FOR APPLICATION PERFORMANCE MANAGEMENT

    公开(公告)号:US20190236205A1

    公开(公告)日:2019-08-01

    申请号:US15885018

    申请日:2018-01-31

    Abstract: In one embodiment, a method of processing a natural language input using a conversational knowledge graph in a virtual assistant is disclosed. The method includes receiving a natural language query from a user; translating the natural language query received from the user into corresponding intents; retrieving conversational knowledge context information based on the intents; using the retrieved conversational knowledge context information to customize back-end service calls to downstream applications; receiving a result of the customized back-end service calls; sending the result of the customized back-end service calls in a response to the natural language understanding system; translating the response from the fulfillment service system into a natural language response; and providing the natural language translated response to the user.

    Root cause discovery engine
    2.
    发明授权

    公开(公告)号:US11954568B2

    公开(公告)日:2024-04-09

    申请号:US17481297

    申请日:2021-09-21

    CPC classification number: G06N20/00 H04L41/14 H04L41/16

    Abstract: The disclosed technology relates identifying causes of an observed outcome. A system is configured to receive an indication of a user experience problem, wherein the user experience problem is associated with observed operations data including an observed outcome. The system generates, based on the observed operations data, a predicted outcome according to a model, determines that the observed outcome is within range of the predicted outcome, and identifies a set of candidate causes of the user experience problem when the observed outcome is within range of the predicted outcome.

    ROOT CAUSE DISCOVERY ENGINE
    3.
    发明公开

    公开(公告)号:US20240185133A1

    公开(公告)日:2024-06-06

    申请号:US18442037

    申请日:2024-02-14

    CPC classification number: G06N20/00 H04L41/14 H04L41/16

    Abstract: The disclosed technology relates identifying causes of an observed outcome. A system is configured to receive an indication of a user experience problem, wherein the user experience problem is associated with observed operations data including an observed outcome. The system generates, based on the observed operations data, a predicted outcome according to a model, determines that the observed outcome is within range of the predicted outcome, and identifies a set of candidate causes of the user experience problem when the observed outcome is within range of the predicted outcome.

    ROOT CAUSE DISCOVERY ENGINE
    4.
    发明申请

    公开(公告)号:US20220004931A1

    公开(公告)日:2022-01-06

    申请号:US17481297

    申请日:2021-09-21

    Abstract: The disclosed technology relates identifying causes of an observed outcome. A system is configured to receive an indication of a user experience problem, wherein the user experience problem is associated with observed operations data including an observed outcome. The system generates, based on the observed operations data, a predicted outcome according to a model, determines that the observed outcome is within range of the predicted outcome, and identifies a set of candidate causes of the user experience problem when the observed outcome is within range of the predicted outcome.

    Conversational knowledge graph powered virtual assistant for application performance management

    公开(公告)号:US10762113B2

    公开(公告)日:2020-09-01

    申请号:US15885018

    申请日:2018-01-31

    Abstract: In one embodiment, a method of processing a natural language input using a conversational knowledge graph in a virtual assistant is disclosed. The method includes receiving a natural language query from a user; translating the natural language query received from the user into corresponding intents; retrieving conversational knowledge context information based on the intents; using the retrieved conversational knowledge context information to customize back-end service calls to downstream applications; receiving a result of the customized back-end service calls; sending the result of the customized back-end service calls in a response to the natural language understanding system; translating the response from the fulfillment service system into a natural language response; and providing the natural language translated response to the user.

    ROOT CAUSE DISCOVERY ENGINE
    6.
    发明申请

    公开(公告)号:US20180308001A1

    公开(公告)日:2018-10-25

    申请号:US15492136

    申请日:2017-04-20

    CPC classification number: G06N99/005 H04L41/14 H04L41/16

    Abstract: The disclosed technology relates identifying causes of an observed outcome. A system is configured to receive an indication of a user experience problem, wherein the user experience problem is associated with observed operations data including an observed outcome. The system generates, based on the observed operations data, a predicted outcome according to a model, determines that the observed outcome is within range of the predicted outcome, and identifies a set of candidate causes of the user experience problem when the observed outcome is within range of the predicted outcome.

    ROOT CAUSE DISCOVERY ENGINE
    7.
    发明公开

    公开(公告)号:US20230289661A1

    公开(公告)日:2023-09-14

    申请号:US18180097

    申请日:2023-03-07

    CPC classification number: G06N20/00 H04L41/16 H04L41/14

    Abstract: The disclosed technology relates identifying causes of an observed outcome. A system is configured to receive an indication of a user experience problem, wherein the user experience problem is associated with observed operations data including an observed outcome. The system generates, based on the observed operations data, a predicted outcome according to a model, determines that the observed outcome is within range of the predicted outcome, and identifies a set of candidate causes of the user experience problem when the observed outcome is within range of the predicted outcome.

    ROOT CAUSE DISCOVERY ENGINE
    8.
    发明申请

    公开(公告)号:US20220067587A1

    公开(公告)日:2022-03-03

    申请号:US17523310

    申请日:2021-11-10

    Abstract: The disclosed technology relates identifying causes of an observed outcome. A system is configured to receive an indication of a user experience problem, wherein the user experience problem is associated with observed operations data including an observed outcome. The system generates, based on the observed operations data, a predicted outcome according to a model, determines that the observed outcome is within range of the predicted outcome, and identifies a set of candidate causes of the user experience problem when the observed outcome is within range of the predicted outcome.

    Root cause discovery engine
    9.
    发明授权

    公开(公告)号:US11132620B2

    公开(公告)日:2021-09-28

    申请号:US15492136

    申请日:2017-04-20

    Abstract: The disclosed technology relates identifying causes of an observed outcome. A system is configured to receive an indication of a user experience problem, wherein the user experience problem is associated with observed operations data including an observed outcome. The system generates, based on the observed operations data, a predicted outcome according to a model, determines that the observed outcome is within range of the predicted outcome, and identifies a set of candidate causes of the user experience problem when the observed outcome is within range of the predicted outcome.

    SYSTEM FOR QUERYING MODELS
    10.
    发明申请

    公开(公告)号:US20180276553A1

    公开(公告)日:2018-09-27

    申请号:US15465679

    申请日:2017-03-22

    CPC classification number: G06N20/00 G06F17/2785 G06N5/022

    Abstract: The disclosed technology relates to machine learning and statistical models. A system is configured to receive a user statement comprising a request for information and identify an intent type and one or more parameters based on the user statement. The system selects a model from the model registry based on the intent type and the one or more parameters, obtains a result based on invoking the selected model using the one or more parameters, and provides the result to the user.

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