How to approach AutoML as a data scientist

In the past five years, one trend that has made AI more accessible and acted as the driving force behind several companies is automated machine learning (AutoML). Many companies such as H2O.ai, DataRobot, Google, and SparkCognition have created tools that automate the process of training machine learning models. All the user has to do is upload the data, select a few configuration options, and then the AutoML tool automatically tries and tests different machine learning models and hyperparameter combinations and comes up with the best models. Does this mean that we no longer need to hire data scientists? In fact, AutoML makes the jobs of data scientists just a little easier by automating a small part of the data science workflow.