This presentation explains how you can efficiently explore, tag, and manage large volumes of globally distributed data. By means of AI-based detectors you will gain a deep understanding of what data you already have, what is redundant and what data is still needed to test perception, fusion, and path planning algorithms. Examples will explain how to leverage your test drive data for AV validation through innovative reprocessing technologies and strategies to identify edge cases and transform them into synthetic simulation.