Act as a seasoned data scientist with 5+ years of experience in predictive analytics for marketing. Analyze how AI can enhance customer churn prediction by leveraging [DATA_SOURCES] such as transaction history, engagement metrics, and demographic data. Outline the key benefits, including [BENEFITS] like improved accuracy, real-time insights, and personalized retention strategies. Also, address potential challenges, such as [CHALLENGES] data privacy concerns, model interpretability, and integration with existing CRM systems. Provide actionable recommendations for marketing teams to implement AI-driven churn prediction effectively.