In most large-scale systems, intelligence creation is a team activity. Multiple people can work on the intelligence at the same time, building various parts of it, or investigating different problem areas. Multiple people can also work on the intelligence over time, taking over for team members who’ve left, or revisiting an intelligence that used to work but has started having problems. Some examples of ways to organize intelligence include these:
Using machine learned intelligence for most things, but using manual intelligence to override mistakes.
Using one machine learned ...
