Model Driven Modular Artificial Intelligence Learning Framework

An apparatus comprising:

• a processor;
• a non-transitory computer readable medium comprising instructions executable by the processor to:
• perform an action responsive to a trigger, based at least in part on one or more data inputs, wherein the trigger includes one or more user inputs;
• provide a learning application programming interface configured to allow one or more functions of the artificial intelligence engine to be accessed by a user;
• allow, via the learning application programming interface, the one or more user inputs of the trigger to be defined by the user;
• allow, via the learning application programming interface, the one or more data inputs to be defined by the user;
• allow, via the learning application programming interface, the action responsive to the trigger to be defined by the user.

A method comprising:

• performing, via an artificial intelligence engine, an action responsive to a trigger, based at least in part on one or more data inputs, wherein the trigger includes one or more user inputs;
• providing, at the artificial intelligence engine, a learning application programming interface configured to allow one or more functions of the artificial intelligence engine to be accessed;
• defining, via the learning application programming interface, the one or more user inputs of the trigger;
• defining, via the learning application programming interface, the one or more data inputs;
• defining, via the learning application programming interface, the action responsive to the trigger.