Thanks for posting this, honestly the 0.1% scare me sometimes on technical project. I think you're right, just gotta talk to my customers directly if they even care about it.
I don't get why a lot of people are calling mlflow a shitshow when it has done so much getting data scientist out of recording experiments via CSV. I can log models and parameters and use the UI to track different runs. After comparisons, I can use the registry to register different staging. If you have other model diagnostic charts you can log the artifact as well. I think mlflow v2 has auto logging included so why all the fuss?
I read the book as a teenager and gave me some thought on financial literacy from a very young age. As a starting point with a good story its a decent book. Unsure about the rest of the series.