What is an AI chatbot and How Does it Work?

It can collect such textual input when it’s deployed on chat applications like WhatsApp, Instagram, and on Facebook, on mobile app, or on website. In the simplest of terms, an AI chatbot is a software program built and deployed with the help of conversational AI to assist users and make bot-human interactions, natural, engaging, and free-flowing. The Siri on your phone, the bot on your favourite eCommerce app, or the one sending you updates on WhatsApp – AI chatbots are integral to our digital identities today.

Conversational AI refers to technologies that can recognize and respond to speech and text inputs. In customer service, this technology is used to interact with buyers in a human-like way. The interaction can occur through a bot in a messaging channel or through a voice assistant on the phone. From a large set of training data, conversational AI helps deep learning algorithms determine user intent and better understand human language.

Improving Chatbot Interactions with Machine Learning

To simplify this, we can say that AI is a program that incorporates the problem-solving abilities of a human and it can perform tasks for humans efficiently. The main goal is Artificial Intelligence is to develop such machines that can make intelligent decisions based on past experiences and their learning abilities and convey it (the solution) to the humans. They can’t, however, answer any questions outside of the defined rules. Also, they only perform and work with the scenarios you train them for.

AI can analyze consumer interactions and intent to provide recommendations or next steps. By leveraging machine learning, each experience is unique and tailored to the individual, providing a better customer experience. Natural language processing (NLP) is a form of linguistics powered by AI that allows computers and technology to understand text and spoken words similar to how a human can. This is the foundational technology that lets chatbots read and respond to text or vocal queries. But when you need a little more complexity, you need conversational AI.

Customer Satisfaction

Nearly 50% of those customers found their interactions with AI to be trustworthy, up from only 30% in 2018. What used to be irregular or unique is beginning to be the norm, and the use of AI is gaining acceptance in many industries and applications. Check out this guide to learn about the 3 key pillars you need to get started. If you’re interested in learning more about the intricacies behind operational AI and conversational AI, check out our webinar that features Alan Pendleton and Seth Earley, leaders in the CX and AI spaces. They have a lot more to say about the power of AI for conversations and operations. You may have a misconception that using this technology in a company is a costly endeavor.

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