How to Evaluate AI Data Readiness

Summary

AI implementations fail for reasons most overlook: the data isn’t ready.

According to a survey by Gartner, “63% of organizations either don’t have, or aren’t sure they have, the right data management practices in place to support AI.” The research firm predicts that “through 2026, organizations will abandon 60% of AI projects unsupported by AI-ready data.”

This doesn’t have to be the case. There are real business advantages to be gained from AI, but the work begins with preparing your data. In this report, Gartner details:

• How to assess AI data-readiness within the context of different use cases
• The importance of enhancing metadata utilization
• How to identify whether essential data governance principles have been validated

Read the report to learn more and meet your AI implementation goals.

Gartner, How to Evaluate AI Data Readiness, By Mark Beyer, Ehtisham Zaidi, Roxane Edjlali, 31 January 2025

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