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公开(公告)号：US11461320B2
公开(公告)日：2022-10-04
申请号：US16790554
申请日：2020-02-13
Applicant: Splunk Inc.
Inventor： Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
IPC: G06F16/2453 , G06N20/00 , G06F16/248 , G06F16/2452 , G06N5/04 , G06N3/08 , G06N5/02 , G06N20/10
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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公开(公告)号：US11120344B2
公开(公告)日：2021-09-14
申请号：US15663725
申请日：2017-07-29
Applicant: Splunk Inc.
Inventor： Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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13.发明申请公开(公告)号：US20200183930A1
公开(公告)日：2020-06-11
申请号：US16790554
申请日：2020-02-13
Applicant: Splunk Inc.
Inventor： Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
IPC: G06F16/2453 , G06F16/2452 , G06F16/248 , G06N20/00 , G06N20/10 , G06N5/02 , G06N3/08 , G06N5/04
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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14.发明申请公开(公告)号：US20190034430A1
公开(公告)日：2019-01-31
申请号：US15663722
申请日：2017-07-29
Applicant: Splunk Inc.
Inventor： Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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15.发明授权公开(公告)号：US12189644B1
公开(公告)日：2025-01-07
申请号：US17975249
申请日：2022-10-27
Applicant: SPLUNK INC.
Inventor： Dipock Das , Dayanand Pochugari , Aungon Nag Radon , Adam Oliner , Nikesh Padakanti , Roussi Roussev
IPC: G06F16/248 , G06F16/242 , G06F16/2452 , G06N5/022 , G06N5/046
Abstract: In various embodiments, a natural language (NL) application enables users to more effectively access various data storage systems based on NL requests. The NL application includes functionality for selecting an optimal interpretation algorithm, generating a dashboard, and/or generating an alert based on an NL request. Advantageously, the operations performed by the NL application reduce the amount of time and user effort associated with accessing data storage systems and increase the likelihood of properly addressing NL requests.
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Patent Agency Ranking
公开(公告)号：US11829378B1
公开(公告)日：2023-11-28
申请号：US17733056
申请日：2022-04-29
Applicant: Splunk Inc.
Inventor： Namratha Sreekanta , Nikesh Padakanti , Anudeep Chennupati
IPC: G06F16/248 , G06F16/2455 , G06F16/2457
CPC classification number: G06F16/248 , G06F16/24568 , G06F16/24578
Abstract: A data processing platform generates visualizations for data streams to visually represent a portion of data in the data stream. The platform performs an analysis of a change in values of data contained in the data stream and generates, using a result of the analysis, metadata identifying an insight into the data in the data stream. The insight indicates a characteristic of the change in values. A natural language representation of the insight is generated using the metadata and output for display in association with the visualization.
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17.发明授权公开(公告)号：US11170016B2
公开(公告)日：2021-11-09
申请号：US15663723
申请日：2017-07-29
Applicant: Splunk Inc.
Inventor： Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
IPC: G06F16/248 , G06N3/08 , G06F16/2452 , G06F16/242 , G06N20/10 , G06N5/02 , G06N5/04
Abstract: A natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. The operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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公开(公告)号：US10713269B2
公开(公告)日：2020-07-14
申请号：US15663721
申请日：2017-07-29
Applicant: Splunk Inc.
Inventor： Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
IPC: G06F16/00 , G06F16/248 , G06N3/08 , G06F16/242 , G06F16/2452 , G06N5/02 , G06N5/04 , G06N20/10
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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19.发明申请公开(公告)号：US20190034484A1
公开(公告)日：2019-01-31
申请号：US15663726
申请日：2017-07-29
Applicant: Splunk Inc.
Inventor： Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
CPC classification number: G06F16/24534 , G06F16/24522 , G06F16/248 , G06N3/08 , G06N5/022 , G06N5/046 , G06N20/00 , G06N20/10
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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20.发明申请公开(公告)号：US20190034429A1
公开(公告)日：2019-01-31
申请号：US15663720
申请日：2017-07-29
Applicant: Splunk Inc.
Inventor： Dipock Das , Dayanand Pochugari , Neeraj Verma , Nikesh Padakanti , Aungon Nag Radon , Anand Srinivasabagavathar , Adam Oliner
Abstract: In various embodiments, a natural language (NL) application implements functionality that enables users to more effectively access various data storage systems based on NL requests. As described, the operations of the NL application are guided by, at least in part, on one or more templates and/or machine-learning models. Advantageously, the templates and/or machine-learning models provide a flexible framework that may be readily tailored to reduce the amount of time and user effort associated with processing NL requests and to increase the overall accuracy of NL application implementations.
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