Top Applications of Conversational AI
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Top Applications of Conversational AI

By CIOReview | Thursday, May 12, 2022

Conversational AI enables businesses to scale assistance to new and emerging channels in order to satisfy customers on their preferred channels.

Fremont, CA: Every day, conversational AI becomes increasingly prevalent. Not just for commercial objectives but also for recreation. When computers converse with humans, developers must exert considerable effort to make the interactions as human-like as possible. Whether communicating with a chatbot, replying to an automated email, or speaking with a virtual assistant, computers are working diligently behind the scenes to interpret what is being said, determine the appropriate response, and respond in a manner that is natural and easy for humans to comprehend.

The idea of Conversational AI has been around for decades, but it wasn't always a hot topic of discussion. According to Google Trends statistics, there was virtually little interest in conversational AI between 2005 and 2017. However, during the past three years, there has been an exponential increase in interest in conversational AI.

What are the applications of conversational AI?

Automate typical FAQ resolutions.

Many firms have five to seven distinct types of inquiries that account for more than fifty percent of the overall volume of customer service inquiries. A sophisticated AI is able to interpret the multiple ways in which individuals may pose the same question. For example, an airline may use a travel chatbot to answer frequently asked inquiries such as "can I alter my flight?" without human intervention.

Increase consumer participation.

Conversational AI can reach out to customers proactively at crucial moments in the customer journey or based on behavior signals to give information at the precise moment of relevance. This can help to increase revenue, reduce attrition, and reduce customer irritation.

Enhance product availability.

Businesses rely on artificial intelligence to give all clients more inclusive services. A sophisticated AI can use NLP and NLU to translate text automatically or even convert text to speech. By doing so, firms can improve the usability of their products for people with impairments.