The Evolution of AI-Based Chatbots: From Rule-Based to Intelligent Conversational Agents
Many businesses today strive to find the best AI chatbot app and create a bot for their company that can deliver seamless customer support. Customer service AI chatbot are quite commonplace today. These bots have come a long way since the early days of rule-based systems. Rule-based systems can be considered to be the very first step towards creating conversational AI. In such systems, developers would program a set of rules that the system shall follow in order to respond to user queries. Rule based chatbots needed extensive coding and maintenance, and were not able to handle complex or unpredictable scenarios. Machine Learning and Statistical Approaches subsequently played an instrumental role in the evolution of Conversational AI based chatbots. These technologies enabled machines to learn how to respond to queries efficiently on the basis of data collected from previous interactions. With machine learning (ML), conversational AI systems are able to analyze expansive amount