The technology behind Conversational Artificial Intelligence is complex application of machine learning involving a multi-step process that requires a massive amount of computing power and computations. It is predominantly used to develop speech and language based apps that allow humans to interact naturally with devices, machines, and computers using speech. You most likely have been delivered a deliver a great user experience using conversational Ai when your Ai virtual assistant plays your favorite song to wakes you up in the morning, or when communicating with a chatbot through an ecommerce site while shopping online, or when asking your phone for turn by turn directions on your commute.
Your device should understand your normal voice, deciphers which answer should be chosen based on previously programming, after finding the best answer, replies with speech that sounds natural. Conversational Ai is able to do this by combining natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. engages in contextual dialogue using NLP as well as other complementary algorithms. As one develops a larger corpus of user inputs, your Ai becomes better at recognizing patterns and making predictions.