How Dynamic Decision Tree Structure Unlocks Contextual Chatbot Interactions

How Dynamic Decision Tree Structure Unlocks Contextual Chatbot Interactions

You’ll find a lot of people who don’t believe in the magical power of chatbots. Pretty sure that they must’ve been stung by a chatbot’s out-of-context and wrong responses. But times have changed. Unsupervised and adaptive learning-based chatbots have risen and are making noise. The reason behind the comeback of chatbots (after their initial fall) is that a new breed of chatbots is on the horizon. It creates a dynamic and adaptive flow of conversations based on AI-powered algorithms. Unlike their predecessors, these new-age chatbots don’t have a static conversation flow that fails to respond to questions not covered in their training. Instead, they have a resilient hierarchical dynamic tree-based structure that ensures the conversation loop doesn’t hit a wall. Sounds complicated? It’s not! And after reading this blog post, you’ll feel the same way. Read More

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