Название: Big Data and Artificial Intelligence for Decision-Making in the Smart Economy
Автор: Aziza B. Karbekova, Ladislav Žák, Ivan Milenković
Издательство: Springer
Серия: Studies in Big Data
Год: 2025
Страниц: 454
Язык: английский
Формат: pdf (true), epub
Размер: 21.3 MB

This book focuses on the systemic scientific-methodological and practical exploration of organizational-technical and socio-economic issues related to the automation of decision-making in the smart economy under Industry 4.0 using Big Data and Artificial Intelligence (AI). The scientific novelty of the results presented in the book lies in uncovering the “black box” of decision-making automation in the smart economy through these technologies. The book clarifies the role and significance of Big Data and AI in decision-making within the smart economy, highlighting its fundamental importance.

The book reveals advanced organizational-economic models for decision-making based on Big Data and AI. It also presents the latest trends in the development of the smart economy using Big Data and AI. Moreover, the book explains the socio-ecological and legal aspects of the ethics in applying big data and AI technologies. Additionally, the book proposes prospective applied solutions for decision-making in the smart economy based on Big Data and AI. The target audience of the book includes scientists studying Big Data and AI.

The research develops scientific and practical recommendations for improving intelligent decision-making support through a new technology: Machine Learning based on Big Data. The authors conducted a comparative analysis of the existing technology and proposed new technology to support intelligent decision-making. The authors also carried out a SWOT analysis of the transition to Machine Learning based on Big Data as a new technology for intelligent decision-making support. The authors developed a framework for organizing Machine Learning based on Big Data as a technology for enhancing intelligent decision-making support. The conclusion is that Machine Learning based on Big Data will enhance intelligent decision-making support by improving information support (enabled by the Internet of Things and Big Data), expanding the functional capabilities of smart analytical tools (Artificial Intelligence), and transitioning from template-based to creative solutions (enabled by Machine Learning). The practical significance of the developed framework for organizing Machine Learning based on Big Data as a technology for enhancing intelligent decision-making support lies in its potential to increase the efficiency of today’s organizational management.






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