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18 ways to check whether data can be trusted for AI

ETSI has published TR 104 180, a technical report defining 18 metrics for measuring data quality, giving companies a way to check whether their data is good enough for AI before use. The metrics are grouped into four categories, starting with completeness, accuracy, consistency, and absence of duplicates, and each metric includes its calculation formula.

read1 min views1 publishedSep 7, 2026

ETSI has published TR 104 180, a technical report that defines 18 metrics for measuring data quality, giving companies a way to check whether their data is good enough for AI before they use it. The report defines each metric and includes the formulas needed to calculate it. The metrics fall into four groups. The first deals with the basics, whether data is complete, accurate, consistent, and free of duplicates. The second asks whether the … More

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