In the future, the use of the Industry 4.0 technology and subsequent generations of these technologies in the predictive analysis of oases in interdisciplinary research processes as well as branches and sectors of the economy will grow. The purpose of predictive analysis is to develop forecasts for the development of complex, multi-faceted processes in various fields of science, industry, economy or other spheres of human activity. In addition, predictive analysis may relate to objectively implemented ak processes, for example, natural phenomena, climate, geological, cosmic changes, etc. In predictive analysis, Big Data Analytics and Business Intelligence can be used, as well as other innovative information technologies typical of the current fourth technological revolution called as Industry 4.0. The ongoing technological revolution referred to as Industry 4.0 is motivated by the development of the following factors: Big Data database technologies, cloud computing, machine learning, Internet of Things, artificial intelligence, Business Intelligence and other advanced technologies of Data Mining. Based on the development of these new technological solutions, the processes of innovatively organized analyzes of large information collections gathered in Big Data Analytics database and analytical systems as well as information processing in the cloud for the purposes of applications in such fields as machine learning, Internet of Things have been dynamically developing in recent years. , artificial intelligence, Business Intelligence. To the above-mentioned examples of applications, you can add predictive analyzes regarding further, other areas of application of advanced technologies for analyzing large data sets, such as Medical Intelligence, Life Science, Green Energy, etc. These types of predictive analyzes can be used to improve the processes of planning ecological projects. In recent years, the importance of implementing pro-ecological reforms and technological improvements implemented as part of sustainable, pro-ecological economic development carried out in accordance with the concepts of green economy / circular economy has been growing in the economic processes. In the future, the importance of interdisciplinary research, development of interdisciplinary technologies that will be used in many pro-ecological branches and sectors of the economy, including ecological innovations, which will be developed, among others, taking into account the following or other related fields of science such as: Molecular Biology , Biotechnology, Anthropology Theory, Medicine, Electrical Engineering, Artificial Intelligence, Genetics, Business Administration, Risk Management, Big Data, Business Intelligence, Automation & Robotics, Climatology, Agriculture, Biophysics, Biochemistry, Medical Intelligence, Artificial Neural Networks, Ecosystem Analysis, Energetics, Construction, Food production, Forest ecology, Biology, Geoscience, Government Programs, Behavioral Sciences, Biodiversity Assessment, Green Architecture, Greenhouse, Waste, Household Products, Information Society, Innovation Managemen t, International Entrepreneurship, Internet Technologies, Knowledge Creation, Bioelectric Energy Sources, Business Model Innovation, Cataclysmic Variables, Chromatography, Clean Energy, Cleantech, Climate Prediction, Collaborative Innovation, Commercialization, Computational Intelligence, Computer Science and Engineering, Conservation Biology, Consumer Behavior , Corporate Governance, Creative Economy, Crisis Communication, Cyber ​​Security, Data Analysis, Database Administration, Digital Ecosystems, Economic Ecoindicators, Ecosystem Ecology, Energy Industry, Ecological Modeling, Ecological Economics, Ecological Indicators, Discovery, Earth Sciences, Earthquake Forecasting and Geocataclysm, Econometric Analysis, Economic Integration, Economics of Innovation, Ecosystem Engineering, Electricity, Electronic Systems, Energetic Materials, Energy Technologies, Environment, Environmental Biodegradation, Flora, Food Consumption Life Sciences, Logistics Management, Materials for Sustainable Energy , Astronomy & Astrophysics, Nanomaterials, New Media Technology, Recycling, Physics of Global Warming, Plant Protection, Predictive Analytics, Production Planning, Project Development, Public Economics, Public Policy, Public Policy, Sociobiology, Space Science, Sustainable Agriculture, Sustainable Development Strategies , Technology Forecasting, Transport Economics, Water Resources, Weather Forecasting, Wildlife Conservation, Sustainable World Economy, Green Economy, Circular Economy ... etc.

Greetings,

Dariusz Prokopowicz

Following

the implementation of big data in all sciences, including medicine, marketing or engineering will have notable impacts on the life we know, and in the way of future analysis, I invite you to read our manuscript on big data.

Preprint Big data, farmacoepidemiología y farmacovigilancia