The newspaper La Vanguardia has interviewed Esteban Granero, CEO of Olocip, where he explains more details about the predictive models of Artificial Intelligence, and how factors such as emotional, or streaks among others, are likely to be understood by a well-trained machine since they are also part of the game.
Some of the most significant questions
LV: He is the founder of Olocip, a company that uses artificial intelligence to anticipate what might happen in football. But inertia and emotions are intangible.
EG: The emotional issues we were talking about, that kind of inertia, are part of the game and are therefore susceptible to being understood by a well-trained machine as they are understood by us as people.
LV: That is to say, do they enter into the variables of your systems?
EG: Of course, in several models in which we participate the machine has been able to understand the processes of the dynamics, of the streaks…, and on how that influenced the match´s procedures.
The good thing about this type of algorithms is that they discriminate on variables that have no influence. The model, if it understands that something does not influence it, eliminates it directly.
LV: Artificial intelligence is applied a lot in the NBA for individual performance, but in football, at least in Europe, not so much. Can it be one more step in the evolution of the game?
EG: We use it for several things. One is on a collective level, in the field, to make better decisions. Then, to prevent injuries, which is a very important individual improvement goal. And then also to predict the future performance of players. This can be very useful when choosing a team or knowing where you are going to perform better. Not only do teams know how you’re going to perform if they sign you, but you can also choose a destination knowing where you’ll do best.