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Ask the Expert: Your Topic Modeling and Machine Learning Questions Answered

Callminer

Our ongoing AI webinar series has been full of great audience questions on artificial intelligence, machine learning, and natural language processing. Is topic modeling supervised machine learning (ML)? In most cases machine learning models don’t have a business understanding. Join us August 14th.

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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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Wootric’s Deepa Subramanian on measuring the voice of the customer

Intercom, Inc.

Deepa joined me for a chat about everything from ways to prioritize customer experience to going all-in on machine learning. It’s time for product teams to go from being revenue-led or product-led to being customer-led. When building machine learning , large generic training models aren’t always the best.

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11 best Voice of the Customer tools to listen to your customers effectively

SurveySensum

11 best Voice of the Customer tools to listen to your customers effectively. Studies state that companies still find it difficult to stand out in the competition based on the customer experience they provide. As per Gartner Group, 89% of the companies still compete to stay on top in the minds of customers. .

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Lesson #8: VoC Is Not The Same Thing As Market Research, But They're Converging

PeopleMetrics

However, market research and Voice of the Customer (VoC) are not the same. Market Research vs. Voice of the Customer (VoC). Communication is one-way—customers are asked what they think about a certain issue, but there is no further communication beyond that. Voice of the Customer. Let me explain.

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New Text iQ machine learning models deliver industry leading accuracy with sentiment analysis

Qualtrics

Sentiment analysis is particularly useful for opinion mining and analyzing the voice of the customer materials such as reviews, survey responses , social media, customer feedback , and more. The post New Text iQ machine learning models deliver industry leading accuracy with sentiment analysis appeared first on Qualtrics.

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8 Essential Capabilities You Need for Interaction Analytics

Uniphore

Interaction analytics takes unstructured data from customer interactions across multiple channels and harnesses it to let you understand the true voice of the customer. For the true voice of the customer, you need to understand interactions no matter where they are happening. Omnichannel conversation analysis.