Conversational AI is growing more rapidly every day. Not just in business but for every field of Industries. Conversational AI helps us reduce the time and effort required by humans to perform time-consuming tasks. Conversational AI aims to learn from human conversations to make digital systems easy and intuitive to use. It saves time, so humans give their Precious time to focus on manual tasks. That's because it can provide you with an automated customer support agent that can quickly assist your customers with their inquiries through text or speech, understanding intent, and responding in a way that mimics human conversation.
Thus, those customers can get instant responses without waiting for a human assistant to answer. Conversational AI is a highly Popular technology that helps businesses connect with customers and employees. That facilitates real-time human-like conversation between a human and a computer.
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Conversational AI combines all the technologies such as natural language processing (NLP), Machine Learning, deep learning, and artificial intelligence with traditional software like Chatbots, voice assistants, or voice recognition systems to help customers through either a spoken, written text, or typed interface. With the help of technology, humans and computers can communicate clearly and effectively through speech or text. That enables machines to interact with humans via a language naturally. Conversational AI can be used to build very powerful chatbots.
It is a subset of Artificial Intelligence that leverages concepts like neural networks and Machine Learning and makes them available to build useful applications with it like
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Conversational AI uses various different technologies such as Natural Language Processing(NLP), Automatic Speech Recognition(ASR), and Machine Learning(ML) to understand human Language, react and learn from every interaction.
Input generation: Input received by humans, which can be either written text or spoken Phrases. ASR translates spoken words into text, is the technology that makes sense of the spoken words and translates them into a machine-readable text.
In the figure, input is the user voice recognized by Automated speech recognition with the help of Natural Language Understanding and forming a response with the help of Dialog Management and offering a response to the user with the help of Natural Language Processing.
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The following are the benefits of using conversational AI.
Increased productivity: The conversational chatbot is available at weekends or late at night. It increases productivity.
More sales: Providing customers with the correct information and updates through a conversational chatbot on time will boost your sales.
More consistent customer service: It can be not easy to offer 24/7 customer support, but conversational AI makes that possible.
Scalability: Conversational AI is also very scalable because it develops customer onboarding and training approaches.
Conversational AI starts with thinking about how users interact with one another. The simplest example of a Conversational AI application is a FAQ bot, bot, and chatbots, where you must automatically type the keyword required to receive the appropriate response. Frequently asked questions(FAQs) are the foundation of the conversational AI development process. These chatbots are essential as they do not use NLP, dialog management, or ML to improve over time.
Some of the Examples of FAQs are
Conversational AI applications are Virtual Personal Assistants. Examples are Apple's Siri, Google Home, etc.
Conversational AI applications are Virtual Personal Assistants. These are Amazon Alexa, Apple's Siri, and Google Home. These assistants have simple dialog management and use ASR and NLP. Virtual "Customer" Assistants is the more advanced Conversational AI system and more specialized in dialog management.
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Conversational AI is growing fast for a good reason. More and more businesses are leveraging this artificial intelligence technology to improve customer satisfaction, support, marketing, and overall customer experience. The cognitive technology may be advanced enough to have an everyday experience with a customer. It is only used to direct Conversations between the customers to a human agent. This change will result in greater efficiency, scalability, and reduced operating costs.