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This article's structure and wording feel like it was barely tweaked after coming out of ChatGPT.

Anyway, it misses one of the current biggest problems with all things AI in the workplace: It has attracted every resume-builder and ladder-climber who don't know what they're doing. They just want an AI initiative for their resume.

As long as it's not too public (like the Taco Bell AI drive through disaster) it doesn't really matter if it's successful or not. They can spin it as a success and the next company they apply to won't be able to check.

The same thing happened a few years ago when every PM and rising manager was looking for a way to put blockchain into products. Before that it was "big data", and so on.



It's wild to see would-be influencers continue to build upon a pile of sand, each trying to out pace the lingo on one hand and clinging to anecdotes and conjecture on the other. I wish like other technologies there were first principals that everyone could agree on but you still see it here with people offering what worked for them as some kind of objective fact. Someone should study how these influencer tactics are short circuited by this stuff?


It’s a piece of marketing content for an “AI Ops” company that will, presumably, sell you a solution to stop your AI pilot failing.


100% agree.

> Before that it was "big data", and so on.

Cloud, micro services, NoSQL, serverless, …

We never learn :(


Hey now, some of those things are actually useful.


Yes, all of them are… in limited, specific cases. None of them are the panacea they were hyped up as.


> This article's structure and wording feel like it was barely tweaked after coming out of ChatGPT.

eugh, yeah that's definitely the case. I stopped reading once I got to the first repeated paragraph about data quality.




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