Getting from Informational Chatbot to Conversational Voice with Machine Teaching

Featuring:

Michael Myers, Head of Product & Engineering at Xapp AI

Xapp Ai has over 7 years of experience in voice & conversational AI with over 1200 conversational experiences launched and 100% focus on conversational AI.

Conversational complexity varies enormously. It’s important to understand the context of the channels to make it more personal. We see that going from a standard informational chat to conversational voice is complex but brings about better customer experience, increased ROI, increased complexity amidst a higher cost.

Some challenges to bridging the gap could be organizational as you try to move a big moving ship and also an added amount of services to build these conversational experiences. Lastly, there is some NLU complexity as they typically rely on keyword search though the jump requires an NLU.

Feedback loop for continuous improvement. You really want a seamless way to continue to look at and review to fix errors and improve the model. The key to this is to get your whole team involved to make sure everybody is hearing feedback on their part.