What role does data quality play in AI predictions?

How does data quality affect AI predictions?

Data quality is crucial for AI predictions as it directly impacts the accuracy and reliability of the models.

Can you give examples of poor data quality affecting outcomes?

Sure! For instance, if training data contains errors or biases, the AI may produce skewed predictions.

What steps can be taken to ensure data quality?

To ensure data quality, you can implement data validation, regular audits, and use standardized data collection methods.

Is there a way to measure data quality?

Yes, data quality can be measured using metrics like accuracy, completeness, consistency, and timeliness.