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Data integrity refers to the quality of data in terms of reliability, consistency and accuracy throughout its lifecycle. In artificial intelligence solutions, monitoring data integrity is a crucial aspect to ensure their proper functioning.Among the monitored factors, we can find data schema (field names and their types), the presence of missing values or outliers and drift detection.

Typically, data integrity tools allow users to be notified of any violations through alerting systems. See MLOps and Data Integrity: a match made in Heaven for further details.