Remove Artificial Intelligence Remove Machine Learning Remove Maine Remove Structured Data
article thumbnail

Speech Analytics and AI Is a Winning Combination

DMG Consulting

Speech analytics is getting a new lease on life courtesy of artificial intelligence (AI), machine learning, and the digital transformation. The main obstacle to progress for traditional quality management (QM) is that few companies can afford the resources to properly staff a traditional QM function.

AI 48
article thumbnail

A to Z Guide to Customer Experience Definitions and Terms (Updated)

Lumoa

Artificial Intelligence Artificial Intelligence (AI) is still the same old good AI, but now it’s brought to the customer experience field. The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

The Contact Center Stack – Here’s what you need to build a modern contact center

Taylor Reach Group

And don’t forget Automation, Artificial Intelligence, and machine learning – all to be considered. Third, your CRM should provide enhanced data reporting and retrieval through automated-surfacing of insights and an optimized data storage and retrieval structure.

article thumbnail

Customer Experience Strategy: An A to Z Glossary

Lumoa

artificial intelligence Artificial Intelligence (AI) is still the same old good AI, but now it’s brought to the customer experience field. The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. So let’s start!

article thumbnail

A to Z Guide to Customer Experience Definitions and Terms

Lumoa

artificial intelligence Artificial Intelligence (AI) is still the same old good AI, but now it’s brought to the customer experience field. The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. So let’s start!