Right now in institutions around the world, some of the greatest minds in computer science and statistics are coming up with amazing new algorithms and mathematically beautiful solutions. However it's entirely possible that the solutions they conceive will be impracticable in industry. The reason is simple; "the best answer is useless if it arrives too late to do anything with it". The key principle here is the compromise between 'accuracy' and 'latency'. In this talk I will describe examples where this holds true, and how I am using real-time machine learning models to solve challenges in eCommerce, Financial Services and Media companies.