Shelf: A Leader in the 2026 Gartner® Magic Quadrant™ for Customer Service Knowledge Management Systems
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AI for Customer Service: The 2026 Buyer’s Guide

Customer service is where customers expect to receive a clear answer to any question they ask. Just one incorrect AI response to a customer can turn into a major public scandal. A simple screenshot on social media, a complaint in reviews, an escalation to second-line support, and your reputation...

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AI Knowledge Management: Complete Guide for the Enterprise

Almost every corporation today has more knowledge than it can manage. And AI is marketed to these corporations as the solution to this problem, regardless of the current state of that knowledge. Indeed, AI knowledge management sounds like a ready-made answer: just connect AI to your knowledge...

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Unstructured Data Management: Why Traditional Data Management Tools Aren’t Equipped to Solve It

When it comes to managing data, unstructured data is the wild card. It’s messy, unpredictable, and doesn’t fit neatly into the boxes and grids we’ve relied on for years. Unlike structured data, which is easy to organize and analyze, unstructured data is chaotic. It’s not just that there’s more of...

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Unstructured Data vs. Structured Data And Why it Matters for GenAI

Data is classified into two main types: structured and unstructured. Structured data refers to organized information that follows a predefined format and resides in fixed fields within a record or file. Structured data is easily searchable, organized, and can be stored in databases. Unstructured...

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Why 95% of Contact Center AI Projects Fail (And the Governance Blueprint That Saves Them)

Key Takeaways An MIT report reveals 95% of AI pilots fail. Contact centers are rushing AI deployments without the governance layer needed for success.  We are seeing poor data preparation and lack of feedback loops as the leading causes of AI project failure. Organizations that implement...

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