Conversational AI is a form of artificial intelligence that enables machines to communicate with humans in a natural and human-like manner. This technology is based on the principles of natural language processing (NLP) and machine learning (ML), which allow machines to understand and respond to human language.
One of the key principles of conversational AI is the ability to understand human intent. This is achieved through a process known as intent recognition, which involves using NLP techniques to analyse the user’s input and determine what the user is trying to accomplish. Once the intent has been determined, the system can respond with appropriate information or take action.
Another principle of conversational AI is context awareness. This means that the system is able to understand the context of a conversation and use that information to guide the conversation. For example, if a user asks “What’s the weather like in New York?”, the system would understand that the user is asking about the weather in New York City, and would provide a response accordingly.
One of the most common examples of conversational AI is the chatbot. Chatbots are computer programs that can simulate conversation with human users through text or voice interactions. They are commonly used in customer service, where they can answer frequently asked questions, provide information, or even complete transactions.
Another example is virtual assistant, like Amazon Alexa or Google Home, which use voice recognition and natural language processing to understand spoken commands and perform tasks such as playing music, setting reminders, and providing information.
Conversational AI is also widely used in the field of customer engagement, for example, chatbot in e-commerce websites to help the customer navigate the products, provide recommendations, and answer any questions they may have.
In conclusion, Conversational AI is a technology that allows machines to communicate with humans in a natural and human-like way. By applying principles of NLP and ML, conversational AI systems can understand human intent, maintain context awareness and use it to improve the customer engagement. With many examples and use cases, from chatbot in customer service to virtual assistant and e-commerce chatbot, it is a growing area of technology that promises to transform how we interact with machines.
