Both edge computing and artificial intelligence (AI) have continued to gather attention over the past few years as mobile and Internet of Things (IoT) technologies become increasingly adopted by a vast number of industries around the world. These new technologies have also created new problems and challenges for those looking to implement and benefit from the advances and developments of the fourth industrial revolution. Edge computing is a computing technique used to move decision making closer to the source of data (the edge) and artificial intelligence is an area of computer science that looks to create intelligent machines and also includes sub-fields such as machine learning. Individually, these two technologies have been shown to work incredibly efficiently and both show huge potential for future development, however, combining the two for use within IoT systems could result in a match made in IoT heaven. In this article, we'll explain how edge computing and artificial intelligence are being developed to work together and put forwards some possible use cases that could be applied to AI at the edge.