How does data quality impact AI performance?
Data quality is crucial for AI performance as it directly affects the accuracy and reliability of the models.
Can you give examples of poor data quality affecting AI outcomes?
Sure! Examples include biased training data leading to unfair AI decisions or incomplete data causing inaccurate predictions.
What steps can be taken to improve data quality?
Improving data quality can involve data cleaning, validation, and implementing robust data governance practices.
How do organizations measure data quality?
Organizations often measure data quality using metrics like accuracy, completeness, consistency, and timeliness.
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