By analyzing past and real-time data, chatbots and other AI systems learn through experience rather than active coding/programming.
Aside from sentiment analysis, algorithms can train chatbots to detect anomalies or fraud, recognize speech and voice patterns ( conversational IVR), and predict additional queries, which can be helpful in FAQs. Pattern matching, or learning from past conversations, allows chatbots to look for a related pattern that matches a customer’s behavior. Compare this with human agents who can remember only a limited number of conversations. By analyzing past and real-time data, chatbots and other AI systems learn through experience rather than active coding/programming.