Dynamically constructing and configuring a conversational agent learning model

A computer program product comprising a computer readable storage medium having program instructions embodied therewith for dynamically constructing a conversational agent learning model, the program instructions executable by a computing device to cause the computing device to:

• retrieve a corpus of information, wherein the corpus of information includes records from a set of repositories and external data, including data from social networks or applications;
• configure the conversational agent learning model based upon the retrieved corpus of information, wherein configuring the conversational agent learning model comprises adding new model topics based upon completing a semantic analysis via an artificial intelligence computing system to classify unstructured content;
• deploy the conversational agent learning model by facilitating interaction between the conversational agent learning model and a plurality of clients;
• and
• update the conversational agent learning model to address at least one modification to the corpus of information by adjusting dialog portion aspects to address questions regarding new technology or by adjusting dialog portion aspects to facilitate payment via the new technology.

A system comprising:

• a processor;
• and
• a memory storing an application program, which, when executed on the processor, performs an operation of dynamically constructing a conversational agent learning model, the operation comprising:
• retrieving a corpus of information, wherein the corpus of information includes records from a set of repositories and external data, including data from social networks or applications;
• configuring the conversational agent learning model based upon the retrieved corpus of information, wherein configuring the conversational agent learning model comprises adding new model topics based upon completing a semantic analysis via an artificial intelligence computing system to classify unstructured content;
• deploying the conversational agent learning model by facilitating interaction between the conversational agent learning model and a plurality of clients;
• and
• updating the conversational agent learning model to address at least one modification to the corpus of information by adjusting dialog portion aspects to address questions regarding new technology or by adjusting dialog portion aspects to facilitate payment via the new technology.