Machine learning-based system, method, and computer program for making a 5G private network deployment recommendation

A method, comprising:

• at a computer system:
• obtaining input that defines a plurality of parameter values associated with an enterprise for which a 5G private network is to be deployed, wherein the plurality of parameter values include at least:
• characteristics of the enterprise,
• quality of service requirements for the 5G private network, and
• capabilities of the 5G private network;
• processing the plurality of parameter values by a machine learning model to infer, for the enterprise, an optimal deployment scenario for the 5G private network, wherein the optimal deployment scenario is selected by the machine learning model from among a plurality of available deployment scenarios that are existing deployment configurations for use in implementing 5G private networks;
• outputting an indication of the optimal deployment scenario as a recommendation for deploying the 5G private network for the enterprise;
• selecting a network service from a catalog of network services that is configured to deploy the optimal deployment scenario;
• and
• initiating the network service to deploy the optimal deployment scenario for the enterprise.

A system, comprising:

• a non-transitory memory storing instructions;
• and
• one or more processors in communication with the non-transitory memory that execute the instructions to:
• obtain input that defines a plurality of parameter values associated with an enterprise for which a 5G private network is to be deployed, wherein the plurality of parameter values include at least:
• characteristics of the enterprise,
• quality of service requirements for the 5G private network, and
• capabilities of the 5G private network;
• process the plurality of parameter values by a machine learning model to infer, for the enterprise, an optimal deployment scenario for the 5G private network, wherein the optimal deployment scenario is selected by the machine learning model from among a plurality of available deployment scenarios that are existing deployment configurations for use in implementing 5G private networks;
• output an indication of the optimal deployment scenario as a recommendation for deploying the 5G private network for the enterprise;
• select a network service from a catalog of network services that is configured to deploy the optimal deployment scenario;
• and
• initiate the network service to deploy the optimal deployment scenario for the enterprise.