Welcome to ~15 years ago when everything was labelled data science. Rebranding statistics as data science was hot because it got investor dollars, and it could get you hired if you went to a bootcamp. Companies everywhere were hiring data "scientists" that barely knew how to program because that's what someone on their board or their investors wanted to see (or they thought they wanted to see it). Today it's AI (machine learning) which is an extension of that earlier data science phase, which itself was an extension of applied statistics branded with a trendier name.
And LLMs (generative AI) fall under the same trend as crypto systems a decade or so ago. If you toss it into your product (actually or just claimed) you get investor money. Because it's a fad. There may be some value from it, but the majority is not valuable it's just trend following.
Welcome to ~15 years ago when everything was labelled data science. Rebranding statistics as data science was hot because it got investor dollars, and it could get you hired if you went to a bootcamp. Companies everywhere were hiring data "scientists" that barely knew how to program because that's what someone on their board or their investors wanted to see (or they thought they wanted to see it). Today it's AI (machine learning) which is an extension of that earlier data science phase, which itself was an extension of applied statistics branded with a trendier name.
And LLMs (generative AI) fall under the same trend as crypto systems a decade or so ago. If you toss it into your product (actually or just claimed) you get investor money. Because it's a fad. There may be some value from it, but the majority is not valuable it's just trend following.