Remove Customer Feedback Remove Machine Learning Remove ML Remove Text Analytics
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Text Analytics in Customer Feedback: The CXO’s Secret Weapon

Lumoa

After that frustrating experience, I had a newfound appreciation for customers who have to deal with unresponsive customer experience (CX) teams that fail to act on customer feedback! Just like a hapless tourist, customers are eager to share details of their experience.

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A Guide to Choosing the Right Text Analysis Software for Your Business

Lumoa

And, if you’re nodding along, I’m also betting you’re savvy enough to know that the future of business success is tightly intertwined with embracing Machine Learning (ML) and Artificial Intelligence (AI). AI tools are changing the way we analyze customer feedback.

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CX Automation: How to Deliver Seamless Customer Experiences with Efficiency

SurveySensum

CX automation involves leveraging technologies such as AI (artificial intelligence) and RPA (robotic process automation) to automate customer support and marketing campaigns, collect and analyze customer feedback, and personalize customer experience. Then, the responses they deliver are quite helpful.

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What is the Role of AI in Customer Feedback Analysis?

Lumoa

But it is no longer a challenge, thanks to modern technologies like martech tools and back-office solution software and the use of artificial intelligence (AI) in customer feedback analysis. But it is one thing to claim that a business values customer feedback and another to sift out the actionable data.

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B2B: When & Where AI for Customer Experience Fits

InteractionMetrics

“…for most [machine learning] projects, the buzzword “AI” goes too far. It overly inflates expectations and distracts from the precise way ML will improve business operations,” writes Eric Siegel in the Harvard Business Review. So, is AI for customer experience just hype?