MACHINE LEARNING-BASED TARGETING MODEL BASED ON HISTORICAL AND DEVICE TELEMETRY DATA

    公开(公告)号:US20240330826A1

    公开(公告)日:2024-10-03

    申请号:US18295191

    申请日:2023-04-03

    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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