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

Intercom

Deep learning algorithms are highly effective at processing complex and unstructured data, such as images, audio, and text, and have enabled significant advances in a wide range of applications such as natural language processing, speech recognition, and image recognition systems that include facial recognition, self-driving cars, etc.

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B2B: When & Where AI for Customer Experience Fits

InteractionMetrics

“…for most [machine learning] projects, the buzzword “AI” goes too far. Unstructured data is invaluable for understanding customers’ feelings and thoughts, but only if your analysis respects the nuances. Used properly, AI can extract meaning from unstructured text. It depends.

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

SurveySensum

A VOC tool is software that allows you to collect feedback and generate in-depth analysis reports from unstructured data. These tools come with inbuilt applications to collect feedback, analyze texts and sentiments, provide visual analytics, and more. Text & sentiment analysis . Verint ForeSEE.

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In conversation with Matt Dixon: Use unstructured data to give your CX program the edge it needs

Qualtrics

Unstructured data is becoming an increasingly important part of a successful listening program. CX leaders all recognize the importance of a robust structured VoC data collection program. First off, can you explain what unstructured data is? social media comments , user reviews, etc.).