Intent Disambiguation 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
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
Case Studies NLU at scale: 1000+ intents powering eHealth's Call Center AI and Analytics Learn how eHealth has moved from excel and .txt files to HumanFirst for management of their NLU data at scale.
Tutorials Syncing Dialogflow with HumanFirst How to import an existing Dialogflow agent to HumanFirst using our command line integration.
Tutorials Bottom-up NLU with HumanFirst Learn how to apply the tried and tested divide-and-conquer approach to labeling large datasets using HumanFirst.
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.
Tutorials Labeling Data at Scale with HumanFirst Learn how to make use of HumanFirst to accelerate the labeling process of conversational data.
