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

eglobalis

The main point here is that we are talking about NPS, but no individual metric can supply all needed information; therefore, I called this article “360 Degree Revolution” since all metrics plus data supply your organization with a much better reality check than anything else.

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Conversational AI: The Beginner’s Guide [2021]

Aquire

Machine learning (ML). Conversational applications use ML to better understand human interactions. Sentiment analysis. The application uses ML to learn and finetune responses over time. Here are the main benefits of conversational AI: Achieve more personalized and easy interactions. What do humans mean?

AI 125
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Guest Post: What is the Importance of a Voice-enabled Bot in a Contact Center?

Shep Hyken

Perhaps this could be one of the main reasons businesses nowadays embrace new-age technologies and tools like voice bots and chatbots.? . Thanks to technology, ML, and NLP, interacting with the bot is easier than before. Its groundbreaking sentiment analysis model assigns an emotional score to the customer inputs.

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The Current State of AI in BPO Contact Centers

Hodusoft

Besides these two main types of AI, other popular AI systems include- Machine Learning (ML): A subset of AI, which uses algorithms that learn from existing data, or unsupervised learning. Sentiment Analysis: A process that uses NLP and ML technology to determine the emotional tone (negative, positive, or neutral) of a piece of text.

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Glossary of AI terms: Understanding GPT, neural networks, and more

Intercom

Machine learning (ML) A subfield of AI that involves the development of algorithms and statistical models that enable machines to progressively improve their performance in a specific task without being explicitly programmed to do so.

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SugarCRM vs. Microsoft Dynamics: A Guide to Choosing the Best Option for Your Company

SugarCRM

Although Microsoft Dynamics shares similar sales and marketing capabilities, like customer journey management, salesforce automation, and customization options, the main differences between the two solutions lie in their respective price points and integration capabilities. Book Demo 5.

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B2B: When & Where AI for Customer Experience Fits

InteractionMetrics

It overly inflates expectations and distracts from the precise way ML will improve business operations,” writes Eric Siegel in the Harvard Business Review. Natural language processing in particular enables sentiment analysis, entity recognition, text classification, and topic modeling.