Understanding

I can safely say that I'm getting well and truly sick of talking to ignorant company executives that believe "AI" is some kind of panacea solution for every little data-related inaccuracy or unknown correlation that may exist. If I was a more dishonest person I would spend all my energies simply fleecing twatish CEO's and clueless CMO's by convincing them to spend thousands on pointless "data-science" projects that (totally predictably) deliver absolutely nothing. 

The problem with this stuff is that ignorant people (usually hyper-impatient, A-type personalities) operate on the basis that marketing bullshit is actually true. The net-result of this is that often what they expect to achieve is delusional, simply because, they lack the knowledge to understand why the desired outcome is unlikely or impossible. This is compounded by a lack of will and inclination to understand the detail of why. Whilst delusional expectations are nothing new, whole industries have been sprung from them, the problem comes when people who actually understand the limitations of the latest gizmo's are commanded to "explain" why. As the Nobel-prize winning scientist (and genius) Richard Feynman so elegantly put it in the video below, sometimes "understanding" something is based upon critical foundations without which understanding is impossible.