What is Transfer Learning? Leveraging Past Knowledge for Future AI
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Data quality issues, ranging from inaccurate values to inconsistencies and duplicates, can significantly impact data trustworthiness and hinder informed decision-making.
This article clarifies the distinctions between data quality management (DQM) and master data management (MDM), emphasizing their unique roles in ensuring reliable and trustworthy data.
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