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Логотип
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Competence center of NTI based on MSU

Company

Science and education
Since 2018
Russia
Central Federal District of the Russian Federation
Moscow
119192, Lomonosovsky Avenue, 27, building 1, offices E801 – E804, A818


Owners

The competence center of NTI on technologies of storage and the analysis of Big Data is created based on Lomonosov Moscow State University.

As of March, 2020 NTI according to Big Data are strategic objectives of activity of the Central Committee:

  • Development of new technologies of storage and the analysis of the world-class Big Data demanded in the hi-tech markets of the National technology initiative and formation on the basis of the disruptive results received during the basic researches of the Center, a scientific and technical backlog for creation of perspective technologies of Big Data;
  • Development in the Russian Federation of disruptive basic researches and developments in the field of technologies of storage and the analysis of Big Data, formation of an effective scientific and technology backlog on the future;
  • Development of the educational platform for the purpose of implementation of educational programs for the direction of Big and superbig Data and stimulation of growth of number of specialists in the respective sphere;
  • Development of methods for implementation of predictive analytics, development of a system of automatic search of vulnerabilities in web applications;
  • Creation of infrastructure for the purpose of formation of effective computing base of the broadest spectrum for the existing and new applied tasks of the Center;
  • Creation of the center of the consolidation and coordination of the Russian researchers and developers in the field of technologies of Big Data used when forming national network of researchers and developers in the field of the analysis of Big Data;
  • Development of solutions for overcoming a row relevant for society and the state of the big calls connected with a perspective of storage and the analysis of Big Data;
  • Integration of science and technologies with innovations (working off of interaction within a uniform complex which integrates scientific research in the field of technologies of storage and the analysis of Big Data, technology developments and innovations, being guided by socially important applications).