How does data quality affect AI?

How does data quality affect the performance of AI models?

Data quality is crucial for AI models as it directly influences their accuracy and reliability. Poor quality data can lead to biased or incorrect outcomes.

Can you give me examples of poor data quality?

Sure! Examples include missing values, incorrect labels, duplicate entries, and outdated information. Each of these can skew results.

What can be done to improve data quality?

Improving data quality can involve data cleaning, validation, regular updates, and using standardized formats to ensure consistency.

How do companies ensure data quality?

Companies often implement data governance frameworks, conduct regular audits, and use automated tools to monitor and maintain data quality.