Comment by eitally
3 days ago
You're making a ridiculously overconfident statement.
* Show me a discrete manufacturing company using AI models for statistical process control or quality reporting
* Show me a pharmaceutical company using AI models for safety data analysis
* Show me an engineering company using AI models for structural design
The list goes on and on. There are precious few industries or companies that have replaced traditional analysis & prediction with AI. Why? Because one of two things are true: 1) their data is already in highly structured relational stores that have long legacies of SQL-based extraction and analysis, 2) they're in regulated industries and have to have audit-proof, explainable reporting, or 3) they need evidence-based design and analysis that has a key component coming from real people observing real processes in action.
For all the hyped "AI Automation" you read about, there are 100 other things that aren't, or where firms don't believe they can be, or where they'll struggle to for [reasons].
Right right, I get it. Pharma, structural engineering, discrete manufacturing, ..., all of the industries which are "too hard" to be conquered by some stupid statistical parrot. You're being delusional my friend but I am not going to be the one trying to persuade you to believe otherwise. I am here for sharing experiences and interesting discussions from which I can learn and I am not here for combating triggered and defensive strangers on the internet. And FWIW both of your conclusion and premise, and interpretation of my comment is wrong.