Given how ML is now the cool thing, I realize this may make me look, um, not cool:
How would you describe what ML can offer me, a non-ML-saavy tech organization?
When does it work better than manually programming something?
Which kinds of data work best?
How extreme of data can the model be fed before giving non-sense results? And will it "know" how hard it is guessing?
What is the format of its results?
... etc ...
Tangentially, I may have many, many more follow-up questions. Are there any freelance "AI Consultants"? And if so, where best to find them?
How would you describe what ML can offer me, a non-ML-saavy tech organization?
When does it work better than manually programming something?
Which kinds of data work best?
How extreme of data can the model be fed before giving non-sense results? And will it "know" how hard it is guessing?
What is the format of its results?
... etc ...
Tangentially, I may have many, many more follow-up questions. Are there any freelance "AI Consultants"? And if so, where best to find them?