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The sheer volume of data processed by automated workflows can make it challenging to ensure consistent data protection practices. This complexity requires robust data management frameworks and continuous monitoring to prevent privacy breaches.

AI algorithms can automatically detect and correct errors in data, ensuring that it is accurate and reliable. For example, AI can identify and rectify inconsistencies in data formats, fill in missing values, and correct typographical errors. This automated data cleansing process reduces the time and effort required for manual data correction, enhancing overall data quality.