No, you should not wait for a good use case
No, you should not wait for a good use case
Data experts love AI, but they also know, you should find a good use case, before mindlessly following the hype. But with AI at its current stage, they are wrong.
Data experts like Nadiem below keep on pushing for calculating business impact BEFORE getting into AI.
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In fact, among the crowd I got on my LinkedIn account, it looks like you’re not cool if you didn’t ask “yeah, but what’s the business impact of your AI prototype?” lately.
Thing is, those questions are made for bananas. Do you need a banana? That’s a straight forward question. If you’re hungry, if you’re about to make a smoothy or a cake, you might need a banana.
A banana is a special-purpose tool. Bananas have a very limited space of applicability.
Wha about electricity then, do you need that? Hell of course yes! Everything runs on electricity. And that’s the thing. Electricity is a general purpose technology, you need it in every aspect of your life.
But in 1837, at the invention of electricity (and in fact for lots of years afterwards), noone was able to answer that question. Because electricity is general purpose, it works in all contexts, it actually works in none. You need tools and processes to adapt any general purpose technology to your specific situation.
Nadiem asks the wrong question. The question is not “Can you calculate the impact of AI?” but rather, “Have you tried it out, and do you know what tools & processes you will need to build to make it work?”
It’s not a banana; stop treating it like one.
