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What is Conversational AI?

https://corover.ai/Conversational AI ChatBot is a type of artificial intelligence that enables users to interact with computer applications the way they would do with other humans. Conversational AI Chatbot Platform uses natural language processing and machine learning to understand people and their preferences, ask relevant questions and engage them in conversations.

Conversational AI is a type of artificial intelligence that enables machines to converse with people in natural language. This technology has primarily taken the form of advanced chatbots, or AI chatbots that contrast with conventional chatbots. The technology can also enhance traditional voice assistants and virtual agents. The technologies behind conversational AI Chatbot are nascent, yet rapidly improving and expanding.

Conversational AI ChatBot can process natural language and carry on an intelligent dialog with users. This feature can be used in different ways to generate interaction between the chatbot and people. A conversational AI chatbot can answer frequently asked questions, troubleshoot issues and even make small talk, contrary to the more limited capabilities that exist when a person converses with a conventional chatbot. Additionally, while a static chatbot is typically featured on a company website and limited to textual interactions, Conversational AI Chatbot interactions are meant to be accessed and conducted via various mediums, including audio, video and text across channels like Website, Application, Social media channels and even in a form of a Kiosk.


Components of Conversational AI

Conversational AI combines natural language processing (NLP) and machine learning. NLP processes throughout the system feedback into a machine learning pipeline  that constantly improves the AI algorithms. By linking to natural language processing, conversational ai chatbot platform has the ability to be easily underst and and respond in a natural way.

Machine Learning: The Conversational AI system is made up of a set of algorithms and ML features that continuously improve themselves with experience. As the input grows, the AI Chatbot platform machine gets better at recognizing patterns and uses it to make predictions. The outcome is a confident conversational agent that can communicate in natural language with humans.
Natural language processing: Conversational AI is the evolution of natural language processing, which in turn evolves from specific methods and approaches. Before machine learning, the evolution of language processing methodologies went from linguistics to computational linguistics to statistical natural language processing. In the future, deep learning will advance the capabilities of conversational AI Platform even further.

In conversational AI, NLP is used to extract meaning from text, voice and images. The output of this process is a response which can be understood by a computer, or an interactive application. NLP consists of four steps: Input generation, input analysis, output generation and reinforcement learning.

Input generation: Conversational AI can generate input by connecting users to the right service. The format of input can be text or voice, depending on what the user prefers. 

Input analysis: The conversational AI solution will employ natural language understanding (NLU) to interpret the content of the input and determine its intended purpose if it is text-based. However, if the input is speech-based, Conversational AI Chatbot will use automatic speech recognition (ASR) and natural language understanding (NLU) to interpret the data.

Dialogue management: Natural Language Generation (NLG), a part of NLP, creates a response during this phase.

Reinforcement learning: Finally, responses are improved using machine learning algorithms over time to guarantee correctness.