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A Quick Guide to Conversational AI

A Quick Guide to Conversational AI

In this article, we will talk about conversational AI - how it works, and why it is being rapidly adopted.

If you’re aiming for conversational growth or focusing on conversational customer support, this is what you need.

Let us begin with first understanding, what conversational AI is?

What is Conversational AI?

Conversational AI is the technology that combines natural language processing with software like chatbots, voice assistants, or even voice recognition systems. The primary aim here is to help customers through either a spoken or written interface. 

The two major pillars of conversational AI are,


👉 Machine Learning - Algorithm that helps chatbots automatically improve themselves after regular use.

👉 Natural Language Processing - Models and interprets language that helps your bot effectively engage with humans. 

Before moving forward, let us first understand what an AI chatbot is?

What Is An AI Chatbot?

An AI chatbot is software that can simulate a user conversation with the help of NLP through messaging.

It is an important part of modern customer service as it increases the user response rate. Its 24/7 availability on your website provides uninterrupted support to your consumers.

An AI chatbot can save your time, labor, and money and yet does not compromise on customer satisfaction. This helps your agents to pay attention to more complex issues and gives you the freedom to invest in other sections of the brand. 

Take Simify360 Conversational AI Chatbot Platform for example, 

It uses NLP, ML, and Natural Language Understanding (NLU) to engage in customer conversations.

NLU deciphers the intent of customers’ input and then stores data to maintain continuity. On the other hand, ML determines an appropriate response that is converted into human language, with natural language generation (NLG). 

How Does Conversational AI Work? 

Conversational AI uses NLP to engage in contextual dialogue. In the longer run, regular user input helps your AI algorithm generate responses on its own, without external interference. In other words, an AI chatbot, after a certain period, becomes capable of providing a more customized response. 

The Conversational AI interface uses four steps as explained below:

👉 Input Generation - This is where the user provides inputs (voice/text-based).

👉 Input Analysis - This is where NLU and NLP process to analyze and convert user input into computer language

👉 Dialogue Management - This is where NLG is used to generate a response in human-language

👉 Reinforcement Learning - This is where the inputs are analyzed to refine replies for future references. 

As compared to traditional chatbots, AI chatbots can be used for many purposes. But most importantly, it is capable of understanding user language and then customizing its response. This helps create a customized experience for your customer leading to customer retention. 


By now you must have concluded that AI chatbots are absolutely fascinating. 

And conversational AI is the feature that differentiates them from traditional chatbots. 

Here is an article that you can read to explore more about AI chatbots vs. traditional chatbots 

🔗Chatbots Vs Conversational AI Chatbots - Which One Should You Go for?

If you’re still reading, it’s proved that you need to invest in conversational AI software today!

So go find yourself an AI chatbot that fulfills your requirements.



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