Articles Continuous AI Improvement 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
Articles Why It’s Time to Move Beyond Sentiment Analysis 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
Articles The Importance of High-Quality Training Data 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
Articles Buying vs. Building enterprise-ready solutions 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
Articles Building a Semantic Emoji Prediction NLU Learn one way to approach semantic Emoji prediction with cascading intents.
Articles The crux of NLU is managing the long-tail of data. 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
Articles A bottom-up approach to NLU Bottom-up labeling applies the tried and tested divide-and-conquer approach to this problem, with great success.
