In the interview, CEO Sergey Tereshkin explains how process automation, the launch of a mobile application, and the creation of the raw materials marketplace "ORG-Market" have helped the company significantly reduce costs, increase revenue, and reach a new level. Learn why digitalization is the future ...

... transportation accessibility across various districts of Moscow. RBC Rolling stock modernization: Train upgrades: Implementation of modern trains with improved characteristics, enhanced energy efficiency, and increased passenger comfort. Digitalization and automation: Introduction of automated train control systems and information technologies to enhance safety and transportation efficiency. Infrastructure projects: Renovation and repair: Upgrading existing stations, tunnels, and other infrastructure facilities ...

... and technology base Gazprom develops innovative technologies to improve the efficiency of gas production and processing. LNG technology development centers: Provide development of new solutions for gas liquefaction and transportation. Monitoring and automation systems: Use of artificial intelligence and big data to manage gas pipelines and monitor the condition of facilities. Gazprom's main investment areas 1. Development of gas production capacities Gazprom actively invests in the development of ...

... improved energy security in these strategically important areas. Digitalization and Implementation of Smart Grids: The company continues to invest in digital transformation, particularly in the development of "smart" grid technologies that automate management and monitoring processes, ensuring rapid response to load changes. For instance, the installation of automated control systems lowers maintenance costs, reduces company expenses, and improves supply quality. Support and Expansion of ...

... limited number of customers. What Startups Are of Interest to R-Vision VC? The fund will invest in B2B and B2G projects with high growth potential. The priorities include: Cybersecurity – technologies for protecting corporate and government data, automation of incident response processes. Artificial Intelligence (AI) – machine learning, automation of data analysis, predictive analytics. Data Analytics – tools for working with big data, data management, and analytical platforms. Enterprise ...