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Supervised vs. Unsupervised Learning: What’s the Difference (Plus Use Cases)

Uniphore

Now that researchers are pushing the boundaries of artificial intelligence, AI approaches learning with similar, if still rudimentary, methods. Supervised learning is best suited for things like: Structured data. Messy data with fewer labels requires unsupervised learning. Desired outcomes (i.e.,

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DMG Consulting Releases 2017 – 2018 Speech Analytics Product and Market Report

DMG Consulting

Who: DMG Consulting LLC, a leading provider of contact center, back-office and real-time analytics market research and consulting services. T hese solutions are being used by contact centers to convert unstructured phone conversations into structured data that yields a wealth of information about customer needs and expectations.

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The opinion of 6 experts on the future of contact centers in a post-corona world

Steven Van Belleghem

Here are the components of the contact center of the future: A Hybrid Model. The future of contact centres will definitely be hybrid (a mix between virtual and real-life contact) and augmented (human capacities being augmented by technology, allowing them to be more human themselves in relevant situations).