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We’re moving away from first-generation chatbots and into the world of complex conversational AI strategies as a means of interacting and delivering on multi-faceted customer requests. This means that the volume of conversations across channels is scaling…quickly.

With the emergence of platforms democratizing conversational AI, there’s a smaller hurdle to get a basic NLU model up and running. The real work starts when your conversational AI project is in production and conversations you would have never expected are thrown at you.

The customer landscape is no longer represented by a one-dialogue offering. When customers share their feedback with you, they expect you to listen and act.

In the new AI/NLU paradigm, businesses realize that complex algorithms will no longer sustain their competitive advantage. The advantage lies in the ability to curate and utilize high-quality training data.