Gartner® Governing Unstructured Data
for AI Readiness: A
Strategic Roadmap

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Inside the report

Unstructured data governance complexities

An examination of why documents and multimedia files present unique governance challenges due to their volume, variety of data sources, and lack of coherent structure.

AI-driven automation in governance

Analysis of how automated tools for discovery, classification, metadata management, and monitoring can transform accuracy and operational efficiency.

Metadata’s unrealized potential

Exploration of how metadata provides essential context across systems, yet remains underutilized due to fragmented and siloed approaches.

Dual nature of data governance value

Analysis of how governance serves both risk mitigation through compliance and security, alongside value generation through cost optimization and insights.

Current approach limitations

Assessment of why traditional file storage solutions with manual review processes often fall short in data protection and insight extraction.

Five-step governance methodology

Overview of a systematic framework encompassing discovery, cataloging, preprocessing, analysis, tagging, classification, connecting, and sharing with governance policies.

Get your copy!

Discover the evolving AI-driven data demands, the governance gaps in current strategies, and the approaches needed to achieve AI-ready unstructured data.

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This field is for validation purposes and should be left unchanged.
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For information about how Qohash handles your personal data, please see our Privacy Policy.
“When governing unstructured data, data and analytics governance leaders need to first prioritize unstructured data sources, by identifying their business value and relevance to current and potential AI use cases.”
Gartner® Governing Unstructured Data for AI Readiness: A Strategic Roadmap

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Disclaimer

Gartner, Governing Unstructured Data for AI Readiness: A Strategic Roadmap, Melody Chien, 13 August 2025

GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved