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How to Create a Voice of Customer Template for Your Business

Lumoa

One of the best analysis techniques available is the voice of customer (VoC) template. This article will explain what VoC is, how to use it, and tips on creating your own voice of customer template for your business. In This Article: What is Voice of Customer(VoC) and Why Is It Important? Ready to dive in?

VOC 94
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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. For example, combining unstructured feedback with structured data from surveys can provide insight into the ‘why’ behind the customer/consumers’ survey responses.

VOE 40
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Speech Analytics and AI Is a Winning Combination

DMG Consulting

To be sure, speech analytics has leveraged core AI technologies—natural language processing (NLP), natural language understanding (NLU), neural networks—to varying degrees for years, so many speech analytics vendors are justifiably calling what they do a form of AI. VoC Unfiltered. But this is just the beginning.

AI 48
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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. Both groups of technologies can be utilized to make analytics more actionable. According to Finance Digest , 95% of customer interactions will be managed with AI by 2025.

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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. Both groups of technologies can be utilized to make analytics more actionable. According to Accenture , 85% of customer interactions will be managed with AI by 2020.

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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. Both groups of technologies can be utilized to make analytics more actionable. According to Accenture , 85% of customer interactions will be managed with AI by 2020.