In the context of digitalization of all aspects of the surrounding world, data is becoming particularly relevant as one of the most valuable resources. The concept of ``big data'' means a huge amount of information, the size of which is too large, or it is created too quickly or has a structuring that does not allow it to be processed using traditional data management systems. Currently, large amounts of data and analytics are increasingly used by government agencies, non-governmental organizations and private companies in the field of environmental protection. The range of practical use of this technology is quite wide: from improving energy efficiency, tracking climate change over long periods of time, monitoring water quality, and ending with the promotion of environmental justice. This article describes several extremely promising applications of large data sets and their analytics, which can help achieve the goals of environmental protection and sustainable development, provide environmental benefits, help research on the environment, its conservation and protection. The widespread adoption of big data processing solutions allows us to illustrate the range of initiatives and approaches to reduce the environmental burden used by government agencies, non-governmental organizations and private companies.
In the conditions of the continuing crisis, determined both by external sanctions against Russia from several Western states, and the ongoing coronavirus pandemic, it is the industrial ecosystems of the country's regions that form innovative solvations with subjects of other industries and spheres of activity and are the main rational consumers of regional resources that combine the potential of innovative speed, high quality, adaptation to changing consumer demands, etc. This article examines the scientific and practical problem of the formation and functioning of innovation-oriented industrial solvates, the solution of which is in line with the new approach proposed by the authors to identify, determine the sources and rank the effects of innovative solvations in the regional industry. This approach is built on the concept of a circular economy, which is based on the assumption of the most rational organization and use of all types of resources of integrated industrial enterprises and related industries (spheres of activity), including through the use of end-to-end digital technologies. It has been proved that in various phases of the economic cycle, effective resource provision of solvation processes in the system of industrial innovations is of decisive importance, which means not only the rational distribution of limited resources between the participants of innovative solvations but also their lean and waste-free use in the production process.
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