Utilizing machine learning models to aggregate applications and users with events associated with the applications

A device, comprising:

• one or more memories;
• and
• one or more processors, communicatively coupled to the one or more memories, configured to:
• receive application data identifying applications utilized by users, database data identifying databases utilized by the users and the applications, and user data identifying the users of the application data and the database data;
• process the application data, the database data, and the user data, with one or more context generator models, to determine:
• context data matching the users and events associated with the applications, and
• task data identifying tasks to be performed in response to the events;
• process the application data, the database data, the user data, and the context data, with a role aggregator model, to generate role data identifying:
• user interfaces utilized by the users to access the applications, and
• credentials of the users for accessing the applications;
• process the context data, the task data, and the role data, with a persona creator model, to generate:
• persona data identifying personas, and
• assignment data assigning each of the users to one of the personas;
• receive a new event associated with one of the applications;
• and
• assign the new event to one of the personas based on the persona data and one of the users based on the assignment data.

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

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• receive application data identifying applications utilized by users, database data identifying databases utilized by the users and the applications, and user data identifying the users of the application data and the database data;
• process the application data, the database data, and the user data, with one or more first models, to determine:
• context data matching the users and events associated with the applications, and
• task data identifying tasks to be performed in response to the events;
• process the application data, the database data, the user data, and the context data, with a second model, to generate role data identifying:
• user interfaces utilized by the users to access the applications, and
• credentials of the users for accessing the applications;
• process the context data, the task data, and the role data, with a third model, to generate:
• persona data identifying personas, and
• assignment data assigning each of the users to one of the personas;
• and
• perform one or more actions based on the persona data and the assignment data.