Remove Machine Learning Remove Sentiment Analysis Remove Start-ups
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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. AI can infer customer sentiment from what theyre already saying or writing.

AI 320
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Customer Service + AI = Customer Success 3.0

ECXO

Through natural language processing (NLP) and machine learning algorithms, AI can comprehend and respond to customer inquiries and concerns with remarkable accuracy and speed. Sentiment analysis algorithms can process vast amounts of customer feedback from multiple sources, such as social media platforms, online reviews, and surveys.

AI 207
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How Can Sentiment Analysis Be Used to Improve Customer Experience?

InteractionMetrics

Sentiment analysis reveals the emotions your customers feelbut knowing how they feel is only useful if you know why they feel the emotion in the first place. We provide comprehensive text analysis services that include sentiment analysis to deliver actionable insights you can use to improve the customer experience.

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Quantum CX: Exploring the Fascinating Connection Between Quantum Physics and Customer Experience

ECXO

As with anything in CX, we need to start with listening and understanding. In the context of quantum physics, frequency vibrations, and emotions, it means gaining insights into the emotional frequencies of customers through a combination of research methods and data analysis.

CX 334
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10 CustomerGauge Alternatives to Redefine Customer Success

SurveySensum

Lets uncover them together, but lets start with what this platform is. Built from the ground up around the Accounts Experience methodology, CustomerGauge offers B2B brands guidance for customer surveying and revenue growth, among other things. What is CustomerGauge? Source: G2 , CustomerGauge Review, Sep 11, 2024 2.

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Top 5 Text Analytics Tools: Features, Benefits, and Use Cases

SurveySensum

In simple terms, text analytics tools leverage machine learning, NLP, and other AI capabilities to break down unstructured data from customer feedback, online reviews, customer support chat, etc. This helps extract meaningful insights from the feedback by identifying recurring patterns, themes, and sentiments.

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How Artificial Intelligence is Changing the Contact Center

Fonolo

As data centers scale up to provide accessible and more affordable computing power, they also usher in a range of new capabilities. When customers do connect with an agent, in-call sentiment analysis can decode customers’ emotions and offer in-call prompts, supporting agents, and improving metrics like first call resolution.