Data readiness for AI focuses on preparing and optimizing data to ensure it is accurate, consistent, and relevant for AI-driven insights. This involves understanding your data domain, ensuring data quality, addressing biases, and building scalable infrastructure to manage large datasets. Organizations must also consider ethical considerations, privacy concerns, and compliance requirements to harness the full potential of AI responsibly. By laying a solid foundation for data readiness, businesses can unlock smarter decision-making, predictive capabilities, and innovation. Finally, potential OCM considerations in your organization will be addressed.