Method and system for automatic creation of software features for a heterogeneous network based on human behavioral analysis

A system comprising:

• a memory;
• and
• at least one processor coupled to the memory and configured to perform operations comprising:
• repeatedly over time to generate a historical database:
• recording a first user's session information when the first user accesses a platform to manage a communications network;
• receiving, via a first screen of one or more screens of a user interface, a first request from the first user to access data describing a first communications network with devices from multiple different vendors and across multiple different generations, wherein the receiving further comprises analyzing the first user's request using the historical database and a database comprising an inventory of network devices and network device metadata;
• storing, based on the receiving and the recording, the first user's request and the first user's session information in the historical database;
• analyzing historical data in the historical database to predict a second request for a second user to access second data describing a second communications network with devices from multiple different vendors and across multiple different generations such that the analysis generates requests at least based on similarity of roles of the first and second user;
• and
• based on the second request, generating a second screen of the one or more screens of the user interface to present to the second user.

A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

• repeatedly over time to generate a historical database:
• recording a first user's session information when the first user accesses a communications network;
• receiving, via a first screen of one or more screens of a user interface, a first request from the first user to access data describing a first communications network with devices from multiple different vendors and across multiple different generations;
• storing, based on the receiving and the recording, the first user's request and the first user's session information in the historical database;
• analyzing historical data in the historical database to predict a second request for a second user to access second data describing a second communications network with devices from multiple different vendors and across multiple different generations such that the analysis generates requests at least based on similarity of roles of the first and second user;
• assembling a prompt to a large language model including (i) the second request and (ii) an instruction to convert the second request from a first language compatible with a first vendor or generation network device to a second language compatible with a second vendor or generation network device, wherein the first and second languages are different;
• receiving from the large language model an updated second request;
• and
• based on the updated second request, generating a second screen of the one or more screens of the user interface to present to the second user.

A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

• repeatedly over time to generate a historical database:
• recording a first user's session information when the first user accesses a communications network;
• receiving, via a first screen of one or more screens of a user interface, a first request from the first user to access data describing a first communications network with devices from multiple different vendors and across multiple different generations;
• storing, based on the receiving and the recording, the first user's request and the first user's session information in the historical database;
• analyzing historical data in the historical database to predict a second request for a second user to access second data describing a second communications network with devices from multiple different vendors and across multiple different generations such that the analysis generates requests at least based on similarity of roles of the first and second user, wherein the analysis comprises:
• cohort analysis, longitudinal analysis, funnel analysis, linear regression, ridge regression, cosine similarity and machine learning clustering algorithms;
• and
• based on the second request, generating a second screen of the one or more screens of the user interface to present to the second user.

A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

• repeatedly over time to generate a historical database:
• recording a first user's session information when the first user accesses a communications network;
• receiving, via a first screen of one or more screens of a user interface, a first request from the first user to access data describing a first communications network with devices from multiple different vendors and across multiple different generations;
• storing, based on the receiving and the recording, the first user's request and the first user's session information in the historical database;
• analyzing historical data in the historical database to predict a second request for a second user to access second data describing a second communications network with devices from multiple different vendors and across multiple different generations such that the analysis generates requests at least based on similarity of roles of the first and second user;
• and
• based on the second request, generating a second screen of the one or more screens of the user interface to present to the second user, wherein the second screen comprises:
• a report displayed to the second user, a prompt to the second user based on analysis of the first user's request and the first user's session information in the historical database, and an email to the second user based on the second request.