With NLP, NER trains AI models to automate their understanding in the same way — in other words, it helps them think more like us.
Voice analytics is the process of using speech engines to process audio recordings, convert speech into text, and extract insights from voice data. Analysis of the speech patterns, emotions, and other signals from the speaker provide powerful clues to call centers of how to provide better service to their customers.
Voice Analytics has been empowering frontline workers in contact centers and organizations for years, but 86% of businesses report that they need better technology-enabled insights to really gain value from their data. The value of these analytics can be transformational for enterprises.
What if you could predict when a customer was likely to churn before they cancel service?