During training, the AI is fed a large amount of data. The AI learns how to recognize patterns in that data and take appropriate action based on those patterns.

In sentiment analysis, AI is trained using machine learning techniques to identify whether speech or text is positive, negative, or neutral.

AI's ability to parse huge amounts of data and take effective action quickly means it can significantly improve your resolution rate, a key customer service metric that correlates with greater satisfaction.