Remove Machine Learning Remove Predictive Analytics Remove VOC
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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

This article examines in detail how businesses in both B2B and B2C contexts are leveraging AI, sentiment analysis, voice-of-customer (VoC) platforms, predictive analytics, and streaming data to capture customer insights in the moment. Instead of explicitly asking How do you feel?,

AI 346
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Beyond NPS: Why Customer Feedback Needs a 360-Degree Revolution

eglobalis

Comprehensive feedback from multiple sources, integrating Voice of the Customer (VOC), metrics, measurements, data analytics, real-time sentiment analysis, and evolving AI developments, is essential for gaining a complete customer understanding.

NPS 480
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How Generative AI Can Uplift Your Voice of the Customer (VoC) Program

Experience Investigators

Voice of the Customer (VoC) programs have leveraged some level of artificial intelligence (AI) in many ways already, including pattern recognition, predictive analytics, and sentiment analysis. We may not be the ones programming these machines (thank goodness!!), but we are the ones leading how to listen to customers.

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Streamline Operational Efficiency With AI-powered Call Center Text Analytics

SurveySensum

It goes beyond just converting speech to text – it adds context, detects sentiment, and derives meaning using AI and machine learning. By leveraging the insights gained from customer interactions, businesses can take proactive steps to streamline operations, personalize interactions, and predict customer needs.

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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. Vendors in most IT sectors claim to provide AI-enabled solutions, and the speech analytics providers are no exception. VoC Unfiltered. By Donna Fluss.

AI 48
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Unlock Customer Insights with Social Media Text Analytics

SurveySensum

What is Social Media Text Analytics? Social media text analytics is the process of analyzing text-based data from social media platforms using technologies like NLP, machine learning, and AI to extract meaningful insights. Predictive analytics : Use historical data to predict which customers are at risk of leaving.

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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. By the way, did you know that Lumoa’s analytics is powered by AI?