
What is an exceptional user experience? The definition varies slightly depending on the industry. For automotive, drivers are looking for convenience, comfort, and entertainment. For restaurants, customers want speed, accuracy, hygiene, and superior service. At the end of the day, for any business, it’s about meeting users’ needs and surpassing their expectations. Industries across the board, from media to financial services, are realizing the benefits of conversational AI technology to deliver exceptional user experiences.
Conversational AI usage is expanding at a rapid rate as adoption increases across industries. Insider Intelligence reports that 123.5 million U.S. adults use a voice assistant once a month, with 48% of U.S. adults predicted to be monthly users by 2025. With this expansion comes new expectations on the functionality and capabilities of voice assistants. Long gone are the days of having to memorize phrases and endure high levels of inaccuracy. Voice assistants can now understand multiple languages and accents, generate greater comprehension through awareness of the context of a conversation, and have the ability to process compound and complex queries.
123.5 million U.S. adults use a voice assistant once a month, with 48% of U.S. adults predicted to be monthly users by 2025.
-Insider Intelligence
With the expanded capabilities of voice AI comes more opportunities for brands across industries to deliver on the promise of experiences that surprise and delight their users. Some industries, such as automotive—the earliest adopters of voice assistants—now view conversational experiences as a key competitive advantage. Other industries, such as media and restaurants, are in the early majority and are still discovering what type of solution will best fit their needs.
We’ve taken a deep dive into the 5 key industries that are early adopters of conversational AI and explored the how, the why, the where, and the trends. Read up on each industry or jump to the section that is most relevant to your interests.
We’ll explore the late majority of conversational AI adopters in the next blog, so keep an eye out for part 2!
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