SYSTEMS AND METHODS RELATING TO ARTIFICIAL INTELLIGENCE LONG-TAIL GROWTH THROUGH GIG CUSTOMER SERVICE LEVERAGE

1 . A system for training an artificial intelligence system to handle long-tail interactions, the system comprising:

at least one processor; and

at least one memory comprising a plurality of instructions stored therein that, in response to execution by the at least one processor, causes the system to:

receive a user question from an interaction between a user and a chatbot;

analyze the user question with a natural language understanding engine to determine whether an intent of the user question matches an answer in an answer knowledgebase of the system;

transfer at least the user question of the interaction to a primary subject matter expert in response to a determination that the intent of the user question does not match an answer in the answer knowledgebase of the system;

receive an expert answer to the user question from the primary subject matter expert;

transfer an interaction package to at least one evaluator for validation, wherein the interaction package comprises the user question and the expert answer to the user question; and

automatically train the natural language understanding engine based on the user question and the expert answer in response to successful validation of the expert answer by the at least one evaluator.

2 . The system of claim 1 , wherein the at least one evaluator comprises a secondary subject matter expert.

3 . The system of claim 1 , wherein the plurality of instructions further causes the system to transmit a response to the user question to the user via the chatbot, wherein the response includes the expert answer.

4 . The system of claim 3 , wherein the plurality of instructions further causes the system to receive a user rating of a quality of the expert answer from the user.

5 . The system of claim 4 , wherein to automatically train the natural language understanding engine comprises to automatically train the natural language understanding engine in response to successful validation by the at least one evaluator and receipt of a favorable user rating of the quality of the expert answer from the user.

6 . The system of claim 1 , wherein the plurality of instructions further causes the system to transmit a matching answer to the user question via the chatbot in response to a determination that the intent of the user question matches an answer in the answer knowledgebase of the system.

7 . The system of claim 1 , wherein the plurality of instructions further causes the system to add a question-answer pair to the answer knowledgebase of the system in response to successful validation of the expert answer by the at least one evaluator.

8 . The system of claim 1 , wherein to train the natural language understanding engine comprises to update an artificial intelligence model.

9 . The system of claim 1 , wherein the answer knowledgebase comprises expert answered questions.

10 . The system of claim 1 , wherein the answer knowledgebase comprises frequently asked questions.

11 . A method of training an artificial intelligence system to handle long-tail interactions, the method comprising:

receiving a user question from an interaction between a user and a chatbot;

analyzing the user question with a natural language understanding engine to determine whether an intent of the user question matches an answer in an answer knowledgebase of the system;

transferring at least the user question of the interaction to a primary subject matter expert in response to determining that the intent of the user question does not match an answer in the answer knowledgebase of the system;

receiving an expert answer to the user question from the primary subject matter expert;

transferring an interaction package to at least one evaluator for validation, wherein the interaction package comprises the user question and the expert answer to the user question; and

automatically training the natural language understanding engine based on the user question and the expert answer in response to successful validation of the expert answer by the at least one evaluator.

12 . The method of claim 11 , wherein the at least one evaluator comprises a secondary subject matter expert.

13 . The method of claim 11 , further comprising transmitting a response to the user question to the user via the chatbot that includes the expert answer.

14 . The method of claim 13 , further comprising receiving a user rating of a quality of the expert answer from the user.

15 . The method of claim 14 , wherein automatically training the natural language understanding engine comprises automatically training the natural language understanding engine in response to successful validation by the at least one evaluator and receipt of a favorable user rating of the quality of the expert answer from the user.

16 . The method of claim 11 , further comprising transmitting a matching answer to the user question via the chatbot in response to determining that the intent of the user question matches an answer in the answer knowledgebase of the system.

17 . The method of claim 11 , further comprising adding a question-answer pair to the answer knowledgebase of the system in response to successful validation of the expert answer by the at least one evaluator.

18 . The method of claim 11 , wherein training the natural language understanding engine comprises updating an artificial intelligence model.

19 . The method of claim 11 , wherein the answer knowledgebase comprises expert answered questions.

20 . The method of claim 11 , wherein the answer knowledgebase comprises frequently asked questions.