By combining the technologies of quantum computers, Big Data Analytics, artificial intelligence and other Industry 4.0 technologies, is it possible to significantly improve the predictive analyses of various multi-faceted macroprocesses?

By combining the technologies of quantum computers, Big Data Analytics, big data analytics and information extracted from e.g. large numbers of websites and social media sites, cloud computing, satellite analytics etc. and artificial intelligence in joint applications for the construction of integrated analytical platforms, it is possible to create systems for the multi-criteria analysis of large quantities of quantitative and qualitative data and thus significantly improve predictive analyses of various multi-faceted macro-processes concerning local, regional and global climate change, the state of the biosphere, natural, social, health, economic, financial processes, etc.?

Ongoing technological progress is increasing the technical possibilities of both conducting research, collecting and assembling large amounts of research data and their multi-criteria processing using ICT information technologies and Industry 4.0. Before the development of ICT information technologies, IT tools, personal computers, etc. in the second half of the 20th century as part of the 3rd technological revolution, computerised, semi-automated processing of large data sets was very difficult or impossible. As a result, the building of multi-criteria, multi-article, big data and information models of complex macro-process structures, simulation models, forecasting models was limited or practically impossible. However, the technological advances made in the current fourth technological revolution and the development of Industry 4.0 technology have changed a lot in this regard. The current fourth technological revolution is, among other things, a revolution in the improvement of multi-criteria, computerised analytical techniques based on large data sets. Industry 4.0 technologies, including Big Data Analytics technology, are used in multi-criteria processing, analysing large data sets. Artificial Intelligence (AI) can be useful in terms of scaling up the automation of research processes and multi-faceted processing of big data obtained from research.

The technological advances taking place are contributing to the improvement of computerised analytical techniques conducted on increasingly large data sets. The application of the technologies of the fourth technological revolution, including ICT information technologies and Industry 4.0 in the process of conducting multi-criteria analyses and simulation and forecasting models conducted on large sets of information and data increases the efficiency of research and analytical processes. Increasingly, in research conducted within different scientific disciplines and different fields of knowledge, analytical processes are carried out, among others, using computerised analytical tools including Big Data Analytics in conjunction with other Industry 4.0 technologies.

When these analytical tools are augmented with Internet of Things technology, cloud computing and satellite-implemented sensing and monitoring techniques, opportunities arise for real-time, multi-criteria analytics of large areas, e.g. nature, climate and others, conducted using satellite technology. When machine learning technology, deep learning, artificial intelligence, multi-criteria simulation models, digital twins are added to these analytical and research techniques, opportunities arise for creating predictive simulations for multi-factor, complex macro processes realised in real time. Complex, multi-faceted macro processes, the study of which is facilitated by the application of new ICT information technologies and Industry 4.0, include, on the one hand, multi-factorial natural, climatic, ecological, etc. processes and those concerning changes in the state of the environment, environmental pollution, changes in the state of ecosystems, biodiversity, changes in the state of soils in agricultural fields, changes in the state of moisture in forested areas, environmental monitoring, deforestation of areas, etc. caused by civilisation factors. On the other hand, complex, multifaceted macroprocesses whose research processes are improved by the application of new technologies include economic, social, financial, etc. processes in the context of the functioning of entire economies, economic regions, continents or in global terms.

Year on year, due to technological advances in ICT, including the use of new generations of microprocessors characterised by ever-increasing computing power, the possibilities for increasingly efficient, multi-criteria processing of large collections of data and information are growing. Artificial intelligence can be particularly useful for the selective and precise retrieval of specific, defined types of information and data extracted from many selected types of websites and the real-time transfer and processing of this data in database systems organised in cloud computing on Big Data Analytics platforms, which would be accessed by a system managing a built and updated model of a specific macro-process using digital twin technology. In addition, the use of supercomputers, including quantum computers characterised by particularly large computational capacities for processing very large data sets, can significantly increase the scale of data and information processed within the framework of multi-criteria analyses of natural, climatic, geological, social, economic, etc. macroprocesses taking place and the creation of simulation models concerning them.

In view of the above, I address the following question to the esteemed community of scientists and researchers:

Is it possible, by combining the technologies of quantum computers, Big Data Analytics, big data analytics and information extracted from, inter alia, a large number of websites and social media portals, cloud computing, satellite analytics, etc., and artificial intelligence in joint applications of building integrated analytical platforms? and artificial intelligence in joint applications for the construction of integrated analytical platforms, is it possible to create systems for the multi-criteria analysis of large quantities of quantitative and qualitative data and thereby significantly improve predictive analyses of various multi-faceted macro-processes concerning local, regional and global climate change, the state of the biosphere, natural, social, health, economic, financial processes, etc.?

By combining the technologies of quantum computers, Big Data Analytics, artificial intelligence and other Industry 4.0 technologies, is it possible to significantly improve the predictive analyses of various multi-faceted macroprocesses?

By combining the technologies of quantum computers, Big Data Analytics, artificial intelligence, is it possible to improve the analysis of macroprocesses?

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The above text is entirely my own work written by me on the basis of my research.

I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.

Copyright by Dariusz Prokopowicz

Dariusz Prokopowicz