“With the scale we work at, it can take 60 days to extract features for machine learning. Lags like these affect our ability to iterate solutions, improve software, and increase performance. We are forced to carefully choose which solutions we want to test at scale with incomplete information, or run more solution candidates on smaller subsamples of data, which negatively affects the robustness and performance of our algorithms.”