This article discusses how AI technologies are reshaping data quality processes in modern enterprises. It explains the shift from traditional rule-based systems to AI-driven frameworks that enhance data accuracy, automate cleaning, and create trust scores based on data reliability. The use of deep learning, generative models, and reinforcement learning plays a key role in adapting to complex data environments.