US 12,614,192 B2Granted

Systems and methods for tracking technical engagement of digital resources

AssigneeWells Fargo Bank, N.A.

InventorsVictoria Lynn, Shelly Theriault McDevitt, Mark Farmer, Myranda Pierce, Gokarna KC, Jeffrey Dufresne, Mark Pendergrass, Carrie Anne Hanson

Life of this patent

Estimating the term…

patentgrep

Loading patent…

Abstract

Systems, apparatuses, methods, and computer program products are disclosed for monitoring and tracking technical engagements between digital resources. An example method includes deploying a machine learning monitoring application to a computing environment comprising one or more of a computing device or a network channel and detecting an engagement metric associated with a target technology of the computing environment and a user account of the computing environment. The example method further includes generating name-value pair data representative of the engagement metric, the user account, and a timestamp token and generating a technical engagement score representative of a probability of a successful utilization of the target technology by the user account. The example method further includes initializing an actionable instruction set based on a comparison of the technical engagement score to a technical engagement threshold.

Claims20

Dependent claims

A method for tracking technical engagement of digital resources, the method comprising:

deploying, by resource monitoring circuitry, a machine learning monitoring application to a computing environment comprising a computing device and a network channel, wherein the network channel comprises one or more of a wired network communication channel or a wireless network communication channel;
from network traffic of the network channel, detecting, by the resource monitoring circuitry and using the machine learning monitoring application, an engagement metric associated with an interaction between a target technology of the computing environment and a user account of the computing environment;
identifying, by the resource monitoring circuitry and based on the engagement metric, a first digital training resource utilized by the user account for the target technology;
generating, by the resource monitoring circuitry and based on the engagement metric, name-value pair data representative of the engagement metric, the user account, and a timestamp token;
generating, by technical engagement scoring circuitry and based on the name-value pair data, a technical engagement score for the user account, the technical engagement score comprising a probability of a successful utilization of the target technology by the user account;
comparing, by the technical engagement scoring circuitry, the technical engagement score to a technical engagement threshold;
determining, by the technical engagement scoring circuitry and based on the comparison, that the technical engagement score does not satisfy the technical engagement threshold;
and
executing, by the technical engagement scoring circuitry and based on the technical engagement score, actions comprising:
from network traffic of the network channel, determining, by the resource monitoring circuitry and using the machine learning monitoring application, a second digital training resource accessed by a second user account of the computing environment;
determining, by the resource monitoring circuitry and using the machine learning monitoring application, an increase in a second technical engagement score associated with the second user account occurring after the second user account accessed the second digital training resource;
and
causing transmission, by communications hardware and to the user account, of an actionable notification indicating that the user account has been assigned additional training for the target technology, the additional training comprising the second digital training resource.

10 more elements

An apparatus for tracking technical engagement of digital resources, the apparatus comprising:

resource monitoring circuitry configured to:
deploy a machine learning monitoring application to a computing environment comprising a computing device and a network channel, wherein the network channel comprises one or more of a wired network communication channel or a wireless network communication channel,
detect, from network traffic of the network channel and using the machine learning monitoring application, an engagement metric associated with an interaction between a target technology of the computing environment and a user account of the computing environment,
identify, based on the engagement metric, a first digital training resource utilized by the user account for the target technology;
and
generate, based on the engagement metric, name-value pair data representative of the engagement metric, the user account, and a timestamp token;
and
technical engagement scoring circuitry configured to:
generate, based on the name-value pair data, a technical engagement score for the user account, the technical engagement score comprising a probability of a successful utilization of the target technology by the user account,
compare the technical engagement score to a technical engagement threshold;
determine, based on the comparison, that the technical engagement score does not satisfy the technical engagement threshold;
and
execute, based on the technical engagement score, actions comprising:
from network traffic of the network channel, determining, using the machine learning monitoring application, a second digital training resource accessed by a second user account of the computing environment;
determining, using the machine learning monitoring application, an increase in a second technical engagement score associated with the second user account occurring after the second user account accessed the second digital training resource;
and
causing transmission, to the user account, of an actionable notification indicating that the user account has been assigned additional training for the target technology, the additional training comprising the second digital training resource.

14 more elements

A computer program product for tracking technical engagement of digital resources, the computer program product comprising at least one non-transitory computer-readable storage medium storing software instructions that, when executed, cause an apparatus to:

deploy a machine learning monitoring application to a computing environment comprising a computing device and a network channel, wherein the network channel comprises a wired network communication channel or a wireless network communication channel;
detect, from network traffic of the network channel and using the machine learning monitoring application, an engagement metric associated with an interaction between a target technology of the computing environment and a user account of the computing environment;
generate, based on the engagement metric, name-value pair data representative of the engagement metric, the user account, and a timestamp token;
identify, based on the engagement metric, a first digital training resource utilized by the user account for the target technology;
generate, based on the name-value pair data, a technical engagement score for the user account, the technical engagement score comprising a probability of a successful utilization of the target technology by the user account;
compare the technical engagement score to a technical engagement threshold;
determine, based on the comparison, that the technical engagement score does not satisfy the technical engagement threshold;
and
execute, based on the technical engagement score, actions comprising:
from network traffic of the network channel, determining, using the machine learning monitoring application, a second digital training resource accessed by a second user account of the computing environment;
determining, using the machine learning monitoring application, an increase in a second technical engagement score associated with the second user account occurring after the second user account accessed the second digital training resource;
and
causing transmission, to the user account, of an actionable notification indicating that the user account has been assigned additional training for the target technology, the additional training comprising the second digital training resource.

10 more elements

Dependencies are inferred from the claim text.