How Conversational AI is better than Chatbot

Photo by Roman Pohorecki
Photo : Roman Pohorecki from Pexels

First, the Conversational AI request receives information from the person, which may be text or spoken phrases. When input is spoken, ASR, also known as voice recognition, is a technology that makes sense of spoken words and translates them into machine-readable format, text.

Second, the application must explain the meaning of the text. It uses Natural Language Understanding (NLU), which is part of Natural Language Processing (NLP), to understand the purpose of text.

Next, the app builds a response based on its understanding of the purpose of the text using Chat Management. Box management organizes responses, and then translates them into a comprehensible human format using the Natural Language Generation (NLG), which is another part of NLP.

The app will either deliver a text-to-speech response, or use speech integration, custom production of human speech, or text-to-speech delivery to deliver a voice-based response.

Last, but not least, the part responsible for learning and improving the app over time. This is called machine learning or enhanced learning, where the app accepts corrections and learns from experience to bring better feedback to future engagement.

AI chat is more than just a simple chatbot

While many companies view Conversational AI as just another type of chatbot, there is much behind it. Because Conversational AI far surpasses the normal chatbot and ultimately sets a new level of customer experience.

Artificial intelligence research also confirms this practice. The study predicts that the global Conversation AI market will reach $ 32.62 billion by 2030, as it would have cost $ 5.78 billion by 2020.

AI chat is very appealing to customers and companies

Compared to direct, Conversation AI, therefore, is much more powerful than conventional chatbot, although in the end they are both communication assistants. For example, chat chatbots can process several applications at once, while simple chatbots require two independent messages for this.

A simple chatbot responds only to the first request and ignores the second. The chat board, on the other hand, in the future, can process both requests and respond simultaneously during the conversation. As AI also remembers your preferences, the result is more natural conversations that lead to less frustration than traditional conversations. From a customer's point of view, Conversational AI is very appealing. Indeed, happy times are yet to come.

Additionally, Conversational AI integration into business communications often works best. All chatbots in the company access the same data sources and thus enable the same communication across all channels. Whether a customer communicates with a company via Facebook or a website makes no difference, because they get the same quality everywhere.

AI chat brings real value

Chatbots and chat AI are not the same things. Instead, Conversational AI is a continuous development of regular chatbots that allows for real conversations between a person and a visual assistant.

So simple chatbots can be a good start, especially when it comes to text-based communication. Soon, however, you will see that chatbots can only offer real value to customers via Conversational AI.

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