Automated Machine Learning (AutoML) refers to automating the process of applying machine learning to real-world problems. It allows non-professionals to build machine learning models and use them for business. AutoML aims to simplify the whole process of machine learning by taking care of each component of a machine learning pipeline: from data preparation to model evaluation. 

There already exist multiple AutoML tools that make it possible to train machine learning models without deep knowledge. It is anticipated that AutoML will significantly help businesses to develop machine learning systems without the need for a data science team.