N🛑T all machine intelligence is relevant or suitable for decision-making.
✨Humans look at problems based on their intelligence. Only some people are suitable for some work. It is widely accepted that human intelligence is very different from one person to another, and based on that, we choose our career path.
I studied Physics. I always had an average rating and scores in the university. My friend, though, did not even study as much. He was very good, in fact, top of the class. He looked at the problems from a very different angle. I could not see what he saw. No one did. He had to explain everything to the class and professor for about 30 minutes. Then we were like… oh, yes! That's true.
Despite that, he was very bad at coding and programming. He could not understand it; it was a foreign concept for him. On the other hand, I was the university master! I ran computer courses in the Physics and Computer departments.
That 👆 story is not very surprising; we see it every day. We accept it very simply – some people are good at something and others are not, even with having access to the same books and knowledge, etc. #data
But when it comes to machine intelligence #AI #LLMs, we think it's only about data, knowledge and the matter of training the models.
The same principle applies. Not all intelligence is suitable for every task.
💣 Not all machine intelligence i.e #AI techniques, are suitable for decision-making tasks.
Especially if you work in an organization that operates in a dynamic and regulated environment, you need to know:
* what intelligence is suitable for decision-making
* how it evolves to solve more complex decision-making scenarios
* how to structure multiple of them to respond to cases in regulated environments
🚀These questions and more are answered by what we call the Decision Intelligence Architecture. #decisionintelligence
Learn more at here.
Posted here.
Published August 30th, 2024 at 07:30 am
