New technologies and the digital age force us to comprehend new horizons of consciousness. The brain becomes more elastic: we are trying to fit terabytes of information into it, but its volumes are growing exponentially.
We can safely say that now is the time of youth. She knows how to flow into the flow of information and quickly sort it. The pace of life of the modern generation is much higher, it is ready to try and take risks, while the older generation “will measure a hundred times and cut one off”. This is also understandable: people who grew up in a different system find it harder to adapt to new technical trends, they have a different formation of thinking. In this regard, we see how the Forbes lists are replenished with new young names.
Over the past decades, the world around us has changed a lot. There have been many innovations, including in marketing. Systems can now predict demand based on human behavior. Already, cameras are installed in some stores, which, having recognized the face of the buyer, find his profile in social networks in order to display the advertisement of this store in the future. Moreover, the systems recognize the emotions that the buyer experiences when picking up the product. And if they are positive, he will not run away from advertising on social networks.
ATF lab, under the leadership of General Director Edgar Grigoryan, did not stand aside - it developed a predictive analytics service. This is the first product in Russia that determines and predicts the desires of social media users based on an analysis of their behavior. The predictive system assesses a person's profile by 50 parameters and composes his "portrait". Having selected the target audience according to similar parameters, marketers create a characteristic of the buyer who is ready to purchase the product.
Let's consider the principle of the predictive system in more detail. The Internet allows you to make a meaningful cut of society. Most of the population spends several hours a day online: communicating, “like”, reposting, commenting, joining communities, listening to music, watching videos, marking their location on the map. This is how each user forms his own "behavior" in social networks, on the basis of which the neural network composes his portrait. According to 50 different parameters, she determines his age, gender, family and social status, city of residence, occupation, education, hobbies and even political views. Having received such a "picture" of a user, artificial intelligence can analyze his further behavior.
Thus, the work of the predictive system is based on the "Classification - Prediction - Recognition" algorithm. At the first stage, the data is distributed according to parameters. For example
