Artificial intelligence based image reconstruction yields significant performance boosts performance for magnetic resonance imaging and computed tomography, and enables the imaging of dynamic objects such as the moving heart. This talk is about how much and what kind of data is required to train reliable and robust deep-learning based imaging methods, and how to optimize the data to improve performance and robustness.