Remove Machine Learning Remove Unstructured Data Remove Voice of the Customer
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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

Using natural language processing (NLP) and machine learning, companies can interpret the tone and emotion behind customer interactions on a massive scale. AI can infer customer sentiment from what theyre already saying or writing. They capture the voice of the customer as it is naturally expressed.

AI 346
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8 Essential Capabilities You Need for Interaction Analytics

Uniphore

Interaction analytics takes unstructured data from customer interactions across multiple channels and harnesses it to let you understand the true voice of the customer. For the true voice of the customer, you need to understand interactions no matter where they are happening.

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New Partnership: Lumoa in joint partnership with Forsta

Lumoa

The Lumoa platform has been integrated into Forsta’s world-class experience platform to provide advanced AI-driven analytics to customers seeking to quickly identify the trends and insights that matter the most. Both solutions also support more than 60 international languages.

VOE 78
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11 best Voice of the Customer tools to listen to your customers effectively

SurveySensum

11 best Voice of the Customer tools to listen to your customers effectively. Studies state that companies still find it difficult to stand out in the competition based on the customer experience they provide. As per Gartner Group, 89% of the companies still compete to stay on top in the minds of customers. .

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15 Best SurveyMonkey Alternatives & Competitors [2025]

SurveySensum

Analyze and identify top customer complaints and sentiments and recurring patterns, automatically using machine learning and AI-enabled text and sentiment analytics. Closed Loop Follow-Up Use detailed feedback and insights to resolve bad customer experiences immediately and convert your detractors and passives to promoters.

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Five Strategic Enablers Of AI-Driven Retention Transformation

VOZIQ

As the complexity of customer churn grows, retention approaches are also evolving to tackle the churn risk and protect customer revenue—and AI can play an instrumental role in that. In this article, I will look at the five strategic enablers of an AI-powered customer retention transformation. Predictive Modeling.

AI 52
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Lesson #4: Text Analytics Is More Than A VoC Feature; It's An Absolute Must-Have

PeopleMetrics

The question then becomes this: how do we make sense out of these unstructured comments from customers? Unlike structured data, which are easy to display graphically or in tables, each piece of unstructured data is different—unique to each customer who took the time to provide it. Humans (Open-Ended Coding).