[jonsmit]

The article does a great job at helping create a language around the ML/AI field to help laymen reason about it. Shivon did a similar taxonomy based article last year titled The Current State of Machine Intelligence - also a good read.

Unfortunately Bloomberg Beta has the same blinkers on that the rest of the VC industry has. They use Context Relevant as an example but don't disclose their investment. Context Relevant is currently undergoing layoffs after recently kicking out their founder and CEO. I've been watching them for years, their pitch was classic VC bait. Even as an outsider I could tell that their tech stack and corporate culture was not going to work. Their glassdoor reviews makes for interesting reading. I've been using Context Relevant as a bellwether for the rest of the industry as I expect when they can no longer hide their losses there is going to be a whole class of data science / big data / ml VC funded service companies that will go belly up around the same time.

Which has me wondering how Bloomberg Beta will fair after that. I'm sure Mike Bloomberg will have bigger things to worry about at that point in time. People get sick of paying for fancy expensive charts showing them precisely how much money they're losing very quickly.

Anyway - that's enough pessimism from me for one day :)

TL;DR

A good read, but take with the usual prescription of a giant grain of salt