The Importance of Data Quality in the Age of AI

As organizations increasingly adopt AI and machine learning technologies, the significance of maintaining high-quality data is more critical than ever. Leaders in the data business, such as Bar Moses, Prakal Pasankar, and George Frazier, discuss the challenges organizations face in ensuring data quality. Bar Moses highlights the persistent issue of data quality and the changing data environment, emphasizing the need for improved management practices. She notes that while demands on data infrastructure have evolved significantly, management of data quality remains relatively unchanged, with many data leaders still relying on manual approaches to quality assurance.