What is the significance of machine learning algorithms in modern data quality tools?
- Enhance automation and accuracy in identifying and fixing data quality issues
- Exclusively rely on human intervention for data quality tasks
- Focus only on structured data, neglecting unstructured data
- Slow down the data quality process due to complexity
Machine learning algorithms in modern data quality tools play a crucial role in automating the detection and resolution of data quality issues, leading to improved accuracy and efficiency.
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