Most of the queries that people and businesses make to chatgpt are to retrieve known data that can be found online. And so we expect it to provide real answers to real, concrete questions.
But knowing what the network knows, or even what it ‘knows it doesn’t know’, doesn’t really make a competitive difference: there are lots of people and resources working on it.
Where is the real value?
The real value lies in knowing what we don’t know that we don’t know, i.e. in creative answers to divergent problems such as
– “What is the best distribution strategy for this product?”
– “What are the business opportunities in this sector?”
– “What messages should I use to appeal to this audience?”
The machine can only come up with relevant and creative answers if it knows things about the market that no one else knows. And that is how it comes up with recommendations that were out of sight.
So the key is to train the machine with alt-data (news, trends, transactions…) so that the user has a point of view based on a real competitive advantage.
