Data quality is a foundational aspect of Artificial Intelligence (AI). It ensures that data used by an AI system will produce accurate results. The degree to which data is accurate, relevant, complete, consistent, and free from bias, errors, or other issues known as data quality, affects not only the performance of the AI system but also any associated outcomes. Poor data quality can lead to unreliable outputs from AI systems and incorrect decisions, or missed opportunities, can be made.
