/Using Machine Learning To Determine Job Titles Based On Information Pertaining To Accesses Of Data Items
Abstract

A machine learning model is trained using information pertaining to accesses of data items at a software-as-a-service (SaaS) management platform. A first training input is generated. The first training input includes access data identifying multiple data items accessed at the SaaS management platform using a subset of user accounts of multiple user accounts associated with a client organization. A first target output is generated. The first target output identifies for each user account, information identifying a respective job title associated with the client organization. The training data is provided to train the machine learning model on (i) a set of training inputs including the first training input, and (ii) a set of target outputs including the first target output.

Full Text

What is claimed is:

A machine learning model is trained using information pertaining to accesses of data items at a software-as-a-service (SaaS) management platform. A first training input is generated. The first training input includes access data identifying multiple data items accessed at the SaaS management platform using a subset of user accounts of multiple user accounts associated with a client organization. A first target output is generated. The first target output identifies for each user account, information identifying a respective job title associated with the client organization. The training data is provided to train the machine learning model on (i) a set of training inputs including the first training input, and (ii) a set of target outputs including the first target output.
Timeline
Filed
04/10/2026
Published
08/13/2026
Granted
Not Available
IPC Codes(2)
G06Q 10/105:Human resources
G06N 20/00:Machine learning