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


Supervised learning is best suited for things like: Structured data. Messy data with fewer labels requires unsupervised learning. Much like trying to uncover the secrets of a lost language, unsupervised learning relies on connections, patterns and trends in whatever data is available for training. Desired outcomes (i.e.,

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Sprinklr named to IDG Insider Pro and Computerworld’s 2021 list of 100 Best Places to Work in IT


At any given instance, this AI engine processes millions of unstructured and structured data points ingested from myriads of channels and software applications. Employees have the opportunity to work with the core of Sprinklr’s technology — our proprietary AI engine built with sophisticated deep machine learning algorithms.

CXM 96

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Strategic Enrollment Management – A Helpful Starter Guide


In a world where the stakes are high, and the challenges are many, SEM provides a structured, data-driven, and holistic approach to ensure that colleges and universities can thrive in both the short and long term. Wrap-up Strategic Enrollment Management is a crucial tool in the arsenal of modern higher education institutions.

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


To remind you a bit of what it is and what it does, text analytics uses transforms unstructured text into structured data that’s actually useful for business decisions. That’s where text analysis, or text mining, comes into play.

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Confirmit Genius: Mining for Hidden Truths in Free-form Content


It is tightly integrated with Confirmit Horizons, our comprehensive, multichannel Voice of the Customer (VoC), Voice of the Employee (VoE), and Market Research platform, so you can easily combine structured data from surveys with the depth of insight and unprecedented level of detail available only in open-ended feedback.

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article thumbnail’s VP of Marketing Alex Ortiz on embracing the era of automation

Intercom, Inc.

. “So we’ve seen companies who have basically re-centralized their data into cloud data warehouses, and that is the source of truth. It’s a system of record, and they’re marrying together both the unstructured data and the structured data to do really interesting marketing.”.

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Five Keys To Driving Voice of the Customer Success

CX Accelerator

4) Tell a complete story with your data. Only using structured data in your VoC initiatives is like having a one-sided coin. Combine structured and unstructured feedback data in your analyses. It doesn’t tell the complete story. In fact, it could set you up for a lot of false positives.