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Industrial Data. The Complexity of Circulation (AI and Big Data)

INDUSTRY-SPECIFIC CHARACTERISTICS
Date:
20 October
Time:
11:30 – 12:45

Description

Within the session, participants will discuss the possibilities of collecting, using, and exchanging industrial data: the types of production tasks that are solved or can be solved with the application of the circulation of industrial data; the economic effects achieved through industrial data; the barriers — regulatory, organizational, technical — that hinder the collection of reliable industrial data. Separately, it will be considered how the collection of industrial data contributes to the formation of smart supervision in the sphere of hazardous industrial facilities, and an overview of international practices in the collection and circulation of industrial data will be conducted. At present, the question of the possibility of collecting, aggregating, and storing these data has not been resolved, which creates difficulties for the analysis of production processes.

At the same time, reliable industrial data allow the state to manage better: to see an objective picture of the loading and condition of capacities, and not only reporting. This provides a basis for informed decisions on support measures, infrastructure development, and control.

  • Moderator:
    • Ilya Kananykin

      Director of the Big Data Association

  • Speakers:
    • Sergey Galkin

      Head of the Federal State Statistics Service

    • Vladimir Petrakov

      Deputy Head of the Department of Investment and Industrial Policy of the City of Moscow

    • Roman Urnyshev

      Deputy Head of the Moscow Department of Information Technologies

    • Anton Kalinsky

      Acting Director of the Department of Digital Technologies of the Ministry of Industry and Trade of Russia

    • Evgeny Goncharov

      Head of Kaspersky ICS CERT division, Kaspersky Lab JSC

    • Alexander Voloshin

      Head of the Department of Relay Protection and Automation of Power Systems, National Research University "MPEI"

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