Additive manufacturing is no longer just about 3D Printing—it's about enabling the systems to learn, adapt and evolve. This column focuses on data-driven approaches, including artificial intelligence, machine learning, and real-time monitoring, to enhance process stability, defect detection, and parameter optimization. Topics include digital twin technology, adaptive control systems, and predictive modeling, all of which contribute to making AM more efficient, reliable, and repeatable. By leveraging smart manufacturing strategies, this column aims to explore how intelligence-driven advancements are shaping the future of AM for high-performance and large-scale applications.