Epic Fail of BigTech Digital Transformation. Where is the Key to Level Up? [Epic Fail of Digital Transformation of Transnational Corporations. Where is the Key to a Level up Management?]

DOI: https://doi.org/10.33917/es-4.184.2022.46-55

World trend of the XXI century — Industry 4.0 and digital platforms. In 2014, General Electric (GE) partnered with Big Tech giants — AT&T, Cisco, IBM and Intel — to take control of the global manufacturing industry created the Industrial Internet Contributors Association (Industry IoT Consortium IIC). By 2021, the IIC included Microsoft, Hewlett-Packard, Accenture, Huawei, Bosch, EMC, SAP, Siemens, SAS and others. GE together with BigTech created the industrial cloud platform Predix, declaring it to be practically an “operating system” for factories, analogous to Android or iOS in the world of machines, the language of the industrial Internet.

However, in 2020 GE and Predix suffered a devastating fiasco.

The article provides an analysis of the root causes and problems, and formulates the requirements for digital platforms of industrial software. The author describes alternative solutions and new principles for implementing digital transformation of Industry 4.0 based on the closing technologies of digital genesis, graph-centric platforms, tools, models and systems of collective conscious scientifically based balanced management (industrial, corporate, social, state). Closing technologies offered by Russia have got an enormous social and political resource.

The Digital Twin (Artificial Society) of the Socio-Economic System of Russia is a Platform for Experiments in the Field of Managing Demographic Processes

DOI: https://doi.org/10.33917/es-2.182.2022.6-19

One of the most promising tools for monitoring and predicting social processes are agent-based models, which are widely used abroad. Their advantage lies in the consideration of the system under study at the level of its individual individuals, which increases the realism of these computer-based assessment methods. In Russia, this direction is also developing, although not so actively. The article discusses the dynamics of the population of Russia, as well as the factors of increasing the birth rate, successful examples of the practical implementation of agent models for studying social processes, a brief description of the model we developed, which includes 146 million agents, is given. With the help of this tool, a forecast of the population of Russia and an assessment of the impact on this indicator of some measures aimed at improving the demographic situation were obtained.


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