Remove Machine Learning Remove Predictive Analytics 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

Meanwhile, customers now interact with brands constantly through digital channels, generating a wealth of real-time signals. Using natural language processing (NLP) and machine learning, companies can interpret the tone and emotion behind customer interactions on a massive scale.

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. There are many ways AI is offering faster and more efficient ways to understand customer feedback and deliver better experiences.

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Speech Analytics and AI Is a Winning Combination

DMG Consulting

Service, quality management, and the customer journey will all see big gains. Speech analytics is getting a new lease on life courtesy of artificial intelligence (AI), machine learning, and the digital transformation. As the pace of business has accelerated, the demand for real-time speech analytics has increased.

AI 48
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Text Mining Explained: How To Do It Right & Act on Feedback

SurveySensum

It uses sentiment analysis, opinion mining, and predictive analytics to understand customer feedback, market trends, and brand perception. For instance, companies use text analytics to monitor social media sentiment and adjust their marketing strategies accordingly.

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Workforce Optimization Ushers in the Real-Time Contact Center

DMG Consulting

AI, machine learning, IVAs, robotic process automation (RPA), desktop process automation (DPA), knowledge management, and more will be instrumental in helping companies improve the service experience. Another emerging strategy for managing a personalized customer experience is the use of predictive analytics.

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7 Must-Have Features for Next-Level Database Monitoring

SurveySensum

The Pulse of Predictive Analytics Predictive analytics forms the heart of proactive database management. Incorporating predictive analytics means your database isn’t solely operational—it’s strategic. 7 Must-Have Features for Next-Level Database Monitoring 1.