Aerial is my code name for an image analysis service or business which uses a machine learning module for object recognition and detection on images that are taken from a very low altitude perhaps from a drone. This article is part 1, and discusses the desirability of such a service.

Ageism is the –ism none of us should have because no matter what, with good fortune, we’re all going in one direction. That is, we’re all on our way to… old. The ageist thus insults his own future self.

I think it is common in certain educational settings (eg courses of any sort) to over emphasise the memorisation of concepts rather than the building of skills, whether it’s learning about Deep Learning or learning about Professional Services firms. Mathematics courses, to contrast, will focus on problem solving, though there often seems no structure behind building those skills. You kind of figure out various tricks, various equivalencies that cancel out or that can be ignored. In my experience learning mathematics subjects at university, you just learned by completing the assignment questions.

There is naturally a dichotomy between AI and Creativity because in most cases AI is not employed to aid creativity nor is it currently (in the short to mid term) able to be creative. However when we are trying to figure out how we are going to use AI, then we can bring out all the creative tools, but these tools work better having access to a creative medium.

This article gives some of my thoughts on the following article in HBR:  Why AI Underperforms and What Companies Can Do About It.

My primary concern with it, is the assertion that an AI Strategy is not needed in any organisation undertaking AI projects.