Analyzing device-related data to generate and/or suppress device-related alerts

A device, comprising:

• one or more memories;
• and
• one or more processors, communicatively coupled to the one or more memories, to:
• receive at least one alert related to operations of a plurality of managed devices and data related to the operations of the plurality of managed devices,
• wherein the at least one alert is received from a device monitoring system associated with the plurality of managed devices, and
• wherein the data related to the operations is received from the plurality of managed devices;
• determine, after receiving the data, a multi-entity profile for the data based on one or more attributes of the plurality of managed devices;
• process the multi-entity profile using a kernel density estimation (KDE) model after determining the multi-entity profile;
• determine, using the multi-entity profile, a set of sub-models for the data related to the operations based on processing the multi-entity profile using the KDE model,
• wherein the set of sub-models is associated with processing the data in a contextualized manner;
• generate a model based on the set of sub-models,
• wherein the model is associated with identifying at least one of:
• one or more alerts, of the at least one alert, to suppress, or
• one or more managed devices, of the plurality of managed devices, to replace;
• and
• perform one or more actions related to the plurality of managed devices or the at least one alert after determining respective scores for the operations,
• wherein the one or more processors, when performing the one or more actions, are to:
• generate a work order related to replacing the at least one of the plurality of managed devices.

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• receive data related to a plurality of managed devices,
• wherein the data includes at least one of:
• diagnostic data associated with operations of the plurality of managed devices,
• call dispatch data associated with respective service histories associated with the plurality of managed devices, or
• customer data associated with respective customers associated with the plurality of managed devices;
• determine, after receiving the data, a multi-entity profile for the data,
• wherein the multi-entity profile includes a set of groupings of the data by one or more attributes of the plurality of managed devices;
• process the multi-entity profile using a kernel density estimation (KDE) model after determining the multi-entity profile;
• determine, using the multi-entity profile, a set of sub-models for the data based on processing the multi-entity profile using the KDE model,
• wherein the set of sub-models is associated with processing the data in a contextualized manner;
• generate a model based on the set of sub-models;
• and
• perform, after generating the model, one or more actions related to the plurality of managed devices based on respective scores for the plurality of managed devices.