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

Customers communicate with businesses on a daily basis, with a range of objectives, expressed in a number of ways. When does my package arrive? Can you refund my credit card?

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. That’s why many businesses

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

If you’re using Excel to collaborate around training data that powers your NLU, you’re not alone—a shocking 85% of the companies we’ve surveyed resort to tools

The decision to build proprietary solutions or buy ready-made software is important for companies investing in a long-term digital vision and roadmap. This is particularly true when it comes to

Learn one way to approach semantic Emoji prediction with cascading intents.

Until now, building and maintaining the training data needed to support a long-tail of intents has been a difficult problem — yet this is what is needed to go from a