I think there is way too much self-flagellation going on in the so-called "modern data stack" community. There is no doubt on the utility on the modern data stack. All that happened was that rates were kept too low for too long, and valuations were too high for too long, and they're not living up to those.
That's all. And it's not funny how poor ChatGPT is at data analysis - occasionally we see some value there and get scared. But I'm positive it's been trained on Kaggle answers, and you know the quality of the average answer there!
I like the Marketing comparison! Definitely not just an issue for data teams. While we get caught up in the specifics of our field, what we're wrestling with generalizes to: Tool makers will always try to make jobs easier, non-pros will always think they can make do with those tools, and pros need to explain the pitfalls that non-pros don't know to look for to justify their involvement.
In my first career as a UX Researcher, this same thing played out / is still playing out when companies say, "talking to customers is everyone's job." At the end of the day: Professional training is still going to be valuable. If you can look at this trend as an opportunity for scale by providing structure, you'll continue to be valued.
I think there is way too much self-flagellation going on in the so-called "modern data stack" community. There is no doubt on the utility on the modern data stack. All that happened was that rates were kept too low for too long, and valuations were too high for too long, and they're not living up to those.
That's all. And it's not funny how poor ChatGPT is at data analysis - occasionally we see some value there and get scared. But I'm positive it's been trained on Kaggle answers, and you know the quality of the average answer there!
I like the Marketing comparison! Definitely not just an issue for data teams. While we get caught up in the specifics of our field, what we're wrestling with generalizes to: Tool makers will always try to make jobs easier, non-pros will always think they can make do with those tools, and pros need to explain the pitfalls that non-pros don't know to look for to justify their involvement.
In my first career as a UX Researcher, this same thing played out / is still playing out when companies say, "talking to customers is everyone's job." At the end of the day: Professional training is still going to be valuable. If you can look at this trend as an opportunity for scale by providing structure, you'll continue to be valued.