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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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公开(公告)号：US20240330826A1
公开(公告)日：2024-10-03
申请号：US18295191
申请日：2023-04-03
Applicant: Cisco Technology, Inc.
Inventor： Evan K Pease , Liz Williams
IPC: G06Q10/0637 , H04L41/0823 , H04L41/14 , H04L41/16
CPC classification number: G06Q10/06375 , H04L41/0823 , H04L41/145 , H04L41/16
Abstract: In one aspect, a method includes receiving first data for a plurality of accounts, the first data including information related to feature subscriptions and adoption for each of the plurality of accounts, each account utilizing one or more devices and features of an enterprise network, receiving second data for the plurality of accounts, the second data including telemetry information on network device and feature usage by one or more devices associated with each of the plurality of accounts, and generating, using a trained machine-learning model, an analysis of the plurality of accounts, wherein the machine-learning model receives the first data and the second data as input and provides a likelihood of feature adoption by each of the plurality of accounts.
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