The interviews revealed that data scientists sometimes get distracted by the latest developments in AI and implement them in their projects without looking at the value that it will deliver.
At least part of this is due to resume-oriented development.
I read bits of a programming book once, can’t remember which one.
Halfway through it was revealed that all the code snippets they had were from a project that was abandoned before it was finished, once the people paying for it realised they no longer wanted it and stopped funding them.
I wasn’t sure what message to take from the book after that. Like, sure, my code is a load of shit, hodge-podged together at the request of people who don’t really know what they want, but at least I’ve got people out there using it…
At least part of this is due to resume-oriented development.
I read bits of a programming book once, can’t remember which one.
Halfway through it was revealed that all the code snippets they had were from a project that was abandoned before it was finished, once the people paying for it realised they no longer wanted it and stopped funding them.
I wasn’t sure what message to take from the book after that. Like, sure, my code is a load of shit, hodge-podged together at the request of people who don’t really know what they want, but at least I’ve got people out there using it…