On the contrary -- graphs (networks, not plots), statistical distributions, and random processes are everywhere in almost every industry. It is just that the cu

On the contrary -- graphs (networks, not plots), statistical distributions, and random processes are everywhere in almost every industry. It is just that the current tools for working with them are currently so hyper-specialized to each individual field that they are 'ghettos' that most smart, general-purpose developers never enter. We're all blind to things our current tools don't permit us to explore. As a random example, I bet that many cloud-based services could (but probably don't) do reliability analysis of their services under different independence assumptions. Are the weak links what you thought they were? What if you updated your model as various things failed / rolled over, so that you could run to put out the fires that are most likely to burn the whole village down? For a modest organization a smart intern could probably put this together with Mathematica in a couple of weeks.