Advances in natural language processing (NLP) technology are increasingly breaking down barriers to reveal better human-machine connection, creating opportunities to develop nuanced and natural communication techniques that more accurately convey person-to-person dialogue and deliver better user experience.

These techniques power Eno, Capital One's first of its kind natural language intelligent assistant. Thanks to the technology behind Eno, it is always improving and becoming more intelligent over time. With Eno, regardless of channel, customers are able to get their questions answered digitally and quickly.

In this talk, I'll share our language model which uses deep learning to understand customer questions and the many variations associated with the same intent.  I'll also discuss challenges that these systems face as they look to move from question answering to complex conversation.

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