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1.发明公开公开(公告)号：US20240340223A1
公开(公告)日：2024-10-10
申请号：US18295643
申请日：2023-04-04
Applicant: Cisco Technology, Inc.
Inventor： Mohammad Shami , Vikramjeet Singh Chauhan , Caroline Dahllof
CPC classification number: H04L41/145 , H04L41/22
Abstract: In one aspect, a method of identifying network features includes receiving a first-time definition of a feature, the feature representing a user query for analytics associated with the feature based on data collected on a plurality of devices in one or more networks, generating the analytics associated with the feature, determining, using a trained machine learning model, a likelihood of adoption of at least the feature by one or more users of the plurality of devices, wherein the trained machine learning model receives as input the first-time definition and provides, as output, the likelihood of adoption of at least the feature, and configuring a user interface on a terminal to provide a visualization of at least one of the likelihood of adoption of at least the feature and the analytics associated with the feature.
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公开(公告)号：US20240340225A1
公开(公告)日：2024-10-10
申请号：US18296058
申请日：2023-04-05
Applicant: Cisco Technology, Inc.
Inventor： Evan K Pease , Mohammad Shami , Yao Zhao , Younghwan Go
Abstract: In one aspect, a method of utilization analysis of network devices include receiving a set of information associated with performance of the network devices operating in a network, processing using a trained machine learning model the set of information to identify one or more variables indicative of performance of the network devices, the machine learning model being trained to receive as input the set of device utilization information, identify the one or more variables, and provide as output an analysis of the performance of one or more of the network devices, and generating a user interface to display on a user device a visual representation of the output of the trained machine learning model.
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