|
|
|
|
|
by TuringNYC
1757 days ago
|
|
I saw a large organization which was the epitome of this -- Executive Directors would propose ambitious ML projects, Directors would create plans and teams, Managers would execute on budgets, create more detailed plans, and then...someone actually needed to do the work. Because of the length of the effort, the annual compensation would already have been handed out and the EDs, Directors, Managers had already "extracted" their compensation for the project, but usually had none left for the workers who eventually needed to do the actual work. Not unexpectedly, a rough job was somehow jammed thru with understaffed, underpaid, and unmotivated low-level workers to actually "deliver" on the "AI" projects -- so victory could be declared at the top level...and new projects could begin. This isnt an ML problem, i'm sure the whole cycle has been repeated with technology-of-the-day generation after generation. It has more to do with governance and organizational maturity to measure real impacts. |
|