What is the importance of data quality in AI systems?

What is the importance of data quality in AI systems?

Data quality is crucial in AI systems because it directly impacts the accuracy and reliability of the models.

Can you explain how poor data quality affects AI outcomes?

Poor data quality can lead to biased results, incorrect predictions, and ultimately, a failure to meet business objectives.

What are some common issues that affect data quality?

Common issues include missing values, duplicates, inconsistencies, and outdated information.

How can we improve data quality for AI applications?

Improving data quality involves regular data cleaning, validation processes, and implementing robust data governance.