Conversational AI solutions are an array of technologies developed to enable real-time human like conversation between human beings & computers. Using artificial intelligence products, a computer is powered to recognize user’s speech or text patterns, interpret and translate several languages, decode their intent and respond with an automated script based on the knowledge developed & stored in it.
Conversational AI category refers to an artificial intelligence (AI) system that enables users to converse with computers back and forth (e.g. through Voicebots or Chatbots). The human being is unable to tell that on the other side it isn’t a human they were conversing with a conversational AI platform.
Conversational AI solutions also known as Contact Center AI products help businesses communicate with their customers across business functions like advertising, marketing, service, support and many more for delivering an enriched CX, enhancing organizational productivity & accelerating business growth. Businesses can use our conversational AI offerings viz: Voicebots, Chatbots, Speech Analytics & Text to Speech to automate many customer-facing touchpoints be it Voice, Chat, Messaging, Social Media viz: Facebook, Twitter and WhatsApp etc.
Businesses are investing in conversational AI solutions for a variety of reasons:
Core components of Artificial Intelligence products are:
Artificial intelligence refers to computer systems or robot systems or machines that are programmed to think like humans to perform tasks. Nowadays artificial intelligence is the basis for all computer learning and all complex decision making.
Conversational AI, uses a variety of technologies, including natural language processing (NLP), a branch of artificial intelligence that enables computers to understand human language. The ability to analyze words and phrases allows machines to respond to human language by making their own sentences in response to human language. Text or speech inputs are understood by NLP models, which are then used to determine the intent of the conversation and the entities involved. In addition, machine learning is used to determine the appropriate response to be given to users based on their specific domain contexts.
