A Handy Guide to Conversational AI
How often have you had a bad experience with online shopping?
Maybe the item delivered was different than the one you ordered, or maybe the delivery took longer than you expected. But, one thing that can turn even the saddest of experiences into the worst is poor customer support.
This is exactly where conversational AI comes into the picture.
So let’s begin this article by understanding what Conversational AI is.
Understanding Conversational AI
The Conversational AI technology uses Natural Language Processing to power AI chatbot platforms like voice assistants and voice recognition systems. On the other hand, it uses machine learning — an algorithm that enables your chatbots to learn from regular user input.
NLP and ML together provide users with either a spoken or written interface, i.e. a conversational interface. This helps your AI chatbot platform to engage in customer conversation in a non-scripted manner creating an organic interaction experience for your customers.
In simple words, conversational AIs are programmed to understand human language patterns and respond contextually.
Now that we have understood what conversational AI is, let’s highlight its functioning.
How do Conversational AI Platforms Work?
Conversational AI software like the Simplify360 Conversational AI Chatbot Platform employs natural language understanding, machine learning, and natural language processing to engage in customer conversations.
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Natural Langage Understanding deciphers the intent of customers’ input and stores the data to maintain continuity and context. On the other hand, machine learning determines an appropriate response that can be converted into human language using natural language generation.
It is important to point out here that both conversational AI and AI chatbots are not one and the same. The former is the driving technology behind the latter.
In simple words, the AI chatbot platform is transactional. It uses AI technology to gaze at the emotional extent used by the user in their input and then based on this analysis it gives an output.
You can gain an even deeper understanding of this difference by reading this article
👉 Chatbots vs. Conversational AI Chatbots- Which one Should You Go For?
Conclusion
Conversational AIs have completely changed the face of the chatbot market.
Its journey has upgraded it from being an ‘if-this-then-that’ algorithm to a self-generating and expanding knowledge database. And, it is this change that has helped it enable various AI chatbot platforms.
As mentioned at the beginning of this article, this post has helped you understand the basic nuances of conversational AI and its functioning.
If you have stuck this far, you sure are looking to explore the world of conversational AI.
Don’t delay any further, and invest in an Ai chatbot platform today!
Here are a few more articles to help you more with this topic
👉Conversational AI Chatbots — The What, Why & Everything Else
👉7 Best Conversational AI Platforms You Should Consider Using in 2022
