Capital de TokensAI cannot see what you do not model #Shorts
Watch on YouTube What happens when a company optimizes only what it has chosen to measure? Artificial intelligence might do exactly what it was asked to do and still leave out something important.
What happens when a company optimizes only what it has chosen to measure? Artificial intelligence might do exactly what it was asked to do and still leave out something important.
In an operation, the system may measure fast deliveries but barely represent drivers’ breaks. If that reality does not appear on the company’s map, an agent cannot take it into account when proposing a route.
That is why an ontology is not just a list of data: it also influences which relationships and constraints AI can see. Designing one requires asking what is missing, who defines the rules, and whom they affect.
The question is not just what the agent can do. It is also: what part of the company’s world are we teaching it to see?
Full episode: https://youtu.be/P9YkQ50PuTA
🤖 AI-generated content: the script, voices, and images for this episode were produced using artificial intelligence tools.
#Shorts