- cross-posted to:
- programming@beehaw.org
- cross-posted to:
- programming@beehaw.org
How stupid do you have to be to believe that only 8% of companies have seen failed AI projects? We can’t manage this consistently with CRUD apps and people think that this number isn’t laughable? Some companies have seen benefits during the LLM craze, but not 92% of them. 34% of companies report that generative AI specifically has been assisting with strategic decision making? What the actual fuck are you talking about?
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I don’t believe you. No one with a brain believes you, and if your board believes what you just wrote on the survey then they should fire you.
I’ve been a professional data scientist for 5+ years and I’m okay at my job. Good enough to get 3 different jobs at non FAANG companies and I have already 3 or so hype trains and name changes of what words we use for the same tools and techniques. This AI hype is going to be another one of these with a few niche cases.
Most of my job is insisting on doing something correctly and then being told that doesn’t give the “correct” response based on leadership expectations. I just change what I do until I get the results that people want to see. I’ll just ride this hype wave out here for a few years here learning nothing new again. I’ll find another job based on my experience and requirements gathering to start the cycle again. Maybe I’ll get more data engineering skills which are actually valid
Similarly, my current job (now ending as they want to end remote work and I don’t want to move to a desert in a very red/religious area)- I guided them out of “block chain for supply chain” (lmao it’s cringe to even say that now) into “AI for productivity automation”
I give it 3 years max before all mentions of AI are scrubbed from the home page
Yup. I hope we move back to data mining. I loved to joke that I put on my hardhat and go into the data mine every morning
I’m a data engineer/architect and it’s the same over here, I get asked constantly “how can we stuff AI into this solution?”, never “should we consider using AI here? Is there a value?”, my view, people don’t understand their data and don’t want to put in the effort to understand their data and think that it’ll magically pull actionable insights from their dataswamp, nothing new, that’s been a constant for as long as I recall.
Like I totally understand the draw of new and exciting, but there’s so much you can do with traditional analytics, and in my view you really need to have a good foundation before doing anything else.
Well all the fancy tools give people confidence into their terrible data. Crap in leads to crap out