Data is one if not the most important component today to make a great machine learning process. but data itself sometimes isnt enough and you have to process it in some way to make it ready for machine learning, this process can take time. In this lecture I will demonstrate how serverless computing can provide a great benefit for AI data preprocessing. as an example I will take face recognition deep learning using the Watson Machine Learning service, while letting PyWren with Cloud Functions do the data preparation phase. This makes an entire process up to 50 times faster compared to running the same code without using serverless computing.