[te_chris]

I think there's a lot of truth to this. I'm new to ML, still going through the ropes on some online courses, but already I can see that, once I get a bit of muscle memory in setting up models etc, there's a whole lot of power and efficiency to be unlocked by using simple models - specifically in CS/X and Marketing. Obviously model quality matters, so you have to have proper monitoring etc, but this stuff is low hanging fruit and should enable teams to be so much more efficient.

[pydry]

In a lot of these cases - maybe most, in fact - the sludge in the data pipeline makes makes the low hanging fruit hang high.

I've worked on a number of projects where it looked simple to automate from the outset and impossible in retrospect.

[te_chris]

Agree entirely, I wouldn’t want to build a saas startup around it due to data quality, but if you have control of your pipeline it’s easier.