Artificial Intelligence (AI) is growing fast, upwards and outwards, out of its adolescence. We have moved beyond the cats and dogs phase of Machine Learning (ML) where two furry animals, each with four legs, teeth and claws might be mistaken for each other. The era of Supervised Machine Learning (SML) where we had to tell our computers that cats are typically (but not always) smaller than dogs, come in a more uniform total variety, only have pointy (not floppy) ears and are more likely to be photographed sat staring at a wall is fast becoming a memory. We've been able to'expose' ML to enough datasets (pictures of different cats and dogs) that it has started to enter the era of Unsupervised Machine Learning (UML), where it can make more sophisticated inferences and start to provide us with more AI power. While there's still a market for tracking cats and dogs with AI in some areas, we are now taking those same core object identification technologies forward and developing massively more complex algorithms for massively more complex tasks.