AI case study: making personal voice assistants more personal

Aug 12, 2021 | Artificial intelligence

Natural language processing (NLP) is a game-changer in how we interact with software. Nowhere is that more visible than in the personal voice assistants. And AI is the secret ingredient that’s making this possible.

Understanding natural language is one of the most challenging tasks for machines. NLP enables a software application to understand, interpret, and generate human text. NLP is the AI behind personal digital voice assistants (such as Alexa, Google, or Siri) and many chatbots.

Sophisticated NLP also uses ‘sentiment analysis’ to decode the mood, attitude, or other subjective qualities in language.

One of the applications could be a massive simplification of computer coding, such as in data analysis. For example, you could simply say, “find out the traits of our top 10% customers by spend,” and the AI-powered NLP would understand your intent, then create the code to execute this task.

Can today’s NLP understand the meaning of messy conversational speech? Take a look…

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