Improving Data Quality and Governance in AI-Powered Big Data Pipelines

Abstract

As artificial intelligence (AI) increasingly powers big data pipelines, ensuring data quality and effective governance has become paramount. This paper examines the challenges and solutions related to maintaining data integrity, accuracy, and compliance in AI-driven big data environments. By reviewing current methodologies and proposing advanced frameworks, this study aims to offer actionable insights for enhancing data quality and governance practices in the context of AI.