Remove ML Remove Touchpoint Remove Unstructured Data
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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

Both Work With Unstructured Data : Both text and sentiment analysis deals with unstructured customer data and feedback, such as texts, emails, surveys, social media conversations, online reviews, etc. Heres how they overlap. Heres a step-by-step guide to integrating text and sentiment analysis into your CX strategy.

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Contact Center Technology Stack: The (Immediate) Transformation You Need?

Ameyo Callversations

Next-gen technologies such as AI, ML, NLP, AR/VR, and more are capable of helping reduce cost and improving metrics such as revenues, wallet and market share, and steady cash flows. These span from a basic service around storage, networking, and computing to advanced frameworks for using AI and ML models.

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5 Reasons Why Traditional Retention Efforts Are Inadequate

VOZIQ

When the traditional customer retention model doesn’t operate as a whole, retention activities become fragmented across different channels and functions, making it challenging to leverage customer data from multiple touchpoints. The post 5 Reasons Why Traditional Retention Efforts Are Inadequate appeared first on VOZIQ AI.