Gartner® Report: How to Evaluate AI Data Readiness
Is Your Data Ready for AI?
As AI adoption accelerates, hidden risks emerge—unreliable data, weak governance, and As AI adoption accelerates, hidden risks emerge—unreliable data, weak governance, and misplaced confidence in models. This Gartner® report provides a structured framework to evaluate and improve your data’s readiness for AI across all stages of development and deployment.
What You’ll Learn
How to assess AI data readiness across four stages.
Why traditional data practices fall short for AI.
How to use metadata to detect drift and risk.
A checklist and matrix to strengthen your pipeline.
How to scale from expert-driven to system-driven AI data ops.
Gartner, How to Evaluate AI Data Readiness, By Mark Beyer, Ehtisham Zaidi, Roxane Edjlali, 31 January 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.
Get the Full Gartner® Report
Acceldata, the leader in Agentic Data Management, offers access to Gartner “How to Evaluate AI Data Readiness.” Download the report to benchmark your strategy, close critical data gaps, and build a foundation for scalable, trustworthy AI.
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