Despite observations of thousands of type Ia supernovae (SNe Ia), we still do not have a clear understanding of the progenitor systems of these explosions. Our limited understanding of these events restricts our understanding of the nature of Dark Energy. The most promising path forward is obtaining observations of the SNe Ia within a few days of the explosion. I’ll discuss SN2018oh and other spectroscopically confirmed SNe Ia with exceptionally early-time observations, discovered by the Kepler Extragalactic Survey (KEGS). I’ll discuss the implications the exquisite Kepler light curves have for different SNe Ia progenitor scenarios. While events with such early observations are exceedingly rare, each provides an invaluable piece of the puzzle. To scale from tens to tens of thousands of objects, we must rapidly follow-up new events from wide-field ground-based surveys. I’ll discuss work to use cutting edge data science and deep learning techniques to identify these, and other multi-messenger astrophysical phenomena in real-time. Finally, I’ll outline how we’re preparing the community to jump scale from the current generation of surveys such as the Dark Energy Survey (DES) and the Zwicky Transient Facility (ZTF) to the LSST (Large Synoptic Survey Telescope).