DIT processes 14.3 terabytes of data daily. Big data processing technologies allow us to structure and transform the initial data file more quickly and with minimum labor costs, reducing the amount of information that people work with and thus the time spent on solving these problems. Big data helps us better understand our citizens. Thanks to big data, we can make a portrait of a Moscow citizen, understand their preferences and address whatever problems they have. For example, what changes in the infrastructure of the city they need and what is missing. Also, big data can help in predicting natural disasters or epidemics. Today, by analyzing this data, we know what problems are emerging. It is now possible to draw up a plan for the repair of roads or to build social facilities on the basis of this information. In one district, for example, you need to build a school, and in another, residents need additional parking zones.
Moreover, big data provides an opportunity for personalization. For example, there is automatic SMS notification of residents of specific areas of unplanned situations - water shutdown, snowfall, road works, and so on. Big data has long been used in the Moscow call center. First of all, our robot with artificial intelligence is connected to the call center and is trained to answers citizens' questions. At the end of the year, we are planning a pilot launch of a new robot, which can analyze the history of previous calls to predict the nature of a new call. This will significantly reduce the total call time. I notice that many companies, including public ones, consider robots with artificial intelligence to be unprofitable and expensive to develop. However, with the help of our robot, we were able to completely reassign human operators from simple questions to more complex ones, thereby saving them time and energy and reducing labor costs.
We also have separate benefits for businessmen. This year, we are planning to launch a robot that will help automate purchases and inform Moscow entrepreneurs about upcoming tenders. We plan to add more features to it in the future.