Machine Learning Infrastructures Require Scale to Spare

Used across a wide range of processes to improve or replace human input, machine learning is attractive because it is able to addresses problems never before tackled due to the prohibitively large volumes of data involved. But when it comes to managing these often massive data sets, it's important to think big from the start to ensure long term success.