Remove Customer Feedback Remove Machine Learning Remove Unstructured Data
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The new dawn of Machine Learning

Intercom, Inc.

GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” It’s all about artificial intelligence and machine learning.

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AI and Real-Time Tech vs. Traditional CX Surveys: Who Will Win the Upcoming Battle?

eglobalis

Using natural language processing (NLP) and machine learning, companies can interpret the tone and emotion behind customer interactions on a massive scale. AI can infer customer sentiment from what theyre already saying or writing. past customers who churned or became high-value advocates) and identify patterns.

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Track Performance and Boost Operational Efficiency With Contact Center Analytics

SurveySensum

Instead of relying on the traditional method of manually keeping track of customer interactions, feedback, and agent performance, contact center analytics centers around improving and optimizing customer service processes with the help of advanced analytics like AI, machine learning, etc. Well, not anymore.

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

SurveySensum

Are you still analyzing your customer feedback manually? In this digital age, where feedback can be gathered from multiple sources from social media posts to online reviews, it has become imperative that you dont miss anything as each of these customer activities can be valuable for your business. Text Analytics Tools.

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6 Reasons Why Unstructured Data Is Key to an Effective Retention Program

VOZIQ

While structured customer data can tell you how many customers may cancel, unstructured data can reveal your customers’ wants, needs, concerns, expectations, and reasons for potentially canceling. Here are six ways unstructured data strengthen customer retention strategies: 1.

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Sentiment Analysis: Guide to Boost CX & Drive Business Insights

SurveySensum

Sentiment analysis is the process of analyzing open-ended feedback using AI technologies like natural language processing, machine learning, and text analytics. The real advantage of using an AI-enabled tool to categorize customer feedback isnt just that it simplifies the process. Lets dive in and explore.

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Text Analytics vs Sentiment Analysis: Key Differences & Applications

SurveySensum

Out to do a detailed analysis of your customer feedback/review? When the world is rapidly turning towards AI, businesses are relying on advanced techniques to extract valuable insights customer reviews, social handles, emails, chats, surveys, and whatnot. Dont waste time sorting through endless customer feedback.