As the transportation industry advances beyond Advanced Driver Assistance Systems (ADAS) toward higher levels of autonomy, data has become the foundation of safe, scalable, and intelligent mobility. This presentation explores how data-centric strategies—including large-scale data collection, sensor fusion, annotation, validation, and continuous learning—are accelerating the development of autonomous transportation systems. Attendees will gain insights into the challenges of managing multimodal vehicle data, improving AI model performance, handling edge cases, and ensuring deployment readiness. The session will highlight practical approaches to building robust data pipelines that enable safer, smarter, and more reliable autonomous mobility solutions.