[red75prime]

> but it looks that my data-related advice falls on deaf ears every time, he's only interested in me pointing to him the latest cool ML algorithm.

So, it seems their learning/planning algorithm fails, even when it is given the right data. That's unfortunate.

Sorry, I can't help but notice that you aren't happy with their brain's algorithm, while talking about importance of data. I don't say that data doesn't matter or anything. Just random observation.

[landon32]

Could actually be their data, right? Imagine if you had only had experience with software engineering. The only data you use when engineering software are the data you learn when using the product or writing tests, it's all the algorithms behind it that's important. So to them, they just don't have data on situations where the data are important.

Wow that's confusing wording. I hope it makes sense.

[red75prime]

It does, but the algorithm doesn't seems to be state-of-the-art, it's more like current ML algorithms, which need lots of data to work successfully in each new domain. Well, there's a lot of improvement possibilities, at least.