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

Lumoa

The most important AI technologies, that are relevant for analyzing customer feedback, fall in the area of natural language processing (NLP) and machine learning. Text Analytics Text Analytics (text mining) includes a set of techniques that structure information arriving in text format— for instance free text customer feedback.

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Confirmit Genius: Mining for Hidden Truths in Free-form Content

Confirmit

Confirmit Genius is an advanced Text Analytics platform that uses the latest Machine Learning technologies to help you draw meaning from unstructured content. What are the two main modules of Confirmit Genius?

VOE 40
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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. These applications are being pushed to the next level by more advanced AI-enabled technologies, like supervised, semi-supervised, and unsupervised machine learning and predictive analytics.

AI 48
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Customer Experience Strategy: An A to Z Glossary

Lumoa

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?

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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.

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A to Z Guide to Customer Experience Definitions and Terms

Lumoa

The most important AI technologies relevant for analyzing customer feedback fall in the area of natural language processing (NLP) and machine learning. But machine learning technologies can also help you to move from diagnostic to predictive analytics: if I fix this issue in my customer experience, how much will my churn decrease?