Artificial Intelligence and Digital Transformation

This book offers a selection of the best papers presented at the International scientific conference Digital Transformation in Industry: Trends, Management, Strategies, held by the Institute of Economics of the Ural Branch of the Russian Academy of Sciences (Ekaterinburg, Russia) on December 1617, 2024.

Focusing on the practical implementation of artificial intelligence and digital technologies in industrial settings, the book explores cutting-edge solutions for managing digital transformation across sectors and regions. The chapters cover a wide range of topics, including AI-based sustainable industrial practices, lean-based digital integration, intelligent logistics and digital supply chain innovations, cloud-edge data architectures, the organization of cyber-physical systems, and scientific and technological development.

Emphasizing both theoretical frameworks and real-world implementation, the book is essential for scientists, industry professionals, policymakers, and researchers seeking to understand and leverage AI and digital technologies for strategic advancement and competitive advantage.

Demonstrates how artificial intelligence is transforming industrial practices Bridges the gap between digital transformation innovation and industrial implementation Provides strategic insights into managing digital transformation at a regional and corporate level Covers real-world applications of AI in industrial contexts

Autorentext

Dr. Fei Tao is a Professor at the School of Automation Science and Electrical Engineering and the Dean of the International Institute for Interdisciplinary and Frontiers at Beihang University, Beijing, China. His research focuses on smart manufacturing and digital twins. He has served as PI for over 30 national research and industry projects. He has published seven books and over 100 peer-reviewed journal articles as the first/corresponding author in Nature, CIRP Annals, and IEEE/ASME Transactions, with over 30 of them being ESI highly cited papers. His publications have over 50,000 citations. He was elected as the Global Highly Cited Researcher (2019-2024) and one of the 20 Most Influential Academics in Smart Manufacturing by SME in 2021. He is currently the Associate Editor of Robotics and Computer-Integrated Manufacturing (RCIM), CIRP Associate Member and IEEE Senior Member. He is the founding Editor-in-Chief of Digital Twin in Taylor & Francis Group and Digital Engineering in Elsevier; and he also initiated the Digital Twin Global Forum (DTGF) and the Digital Twin International Conferences (DigiTwin).

Prof. Thippa Reddy Gadekallu is currently working as Chief Engineer at Zhongda Group (Jiaxing City, China). He has more than 15 years of experience in teaching and research. He has more than 350 international/national publications in reputed journals and conferences. Currently, his areas of research include Machine Learning, Internet of Things, Deep Neural Networks, Blockchain, Computer Vision. He is an editor in several publishers like Springer, Hindawi, Plosone, Scientific Reports (Nature), Wiley. He also acted as a guest editor in several reputed publishers like IEEE, Elsevier, Springer, Hindawi, MDPI. He is recently recognized as one among the top 2% scientists in the world as per the survey conducted by Elsevier in the years 2021, 2022, 2023, 2024. He is also recognized as a highly cited researcher, young scientist category, by Clarivate (web of Science) for the period 2017-2022 in the year 2023.

Inhalt

Chapter 1. Editorial: The Role of AI in Digital Transformation. Are We Ready for an AI-Powered Future?.- Part 1: Artificial Intelligence for Industrial Transformation.- Chapter 2. Digital Transformation of Industry Through Using AI: A Bibliometric Analysis Approach.- Chapter 3. Business and Artificial Intelligence: To Trust or Not to Trust.- Chapter 4. AI-Enhanced Safety in Project-Based Production: A New Era in Workplace Risk.- Chapter 5. Using Artificial Intelligence to Combat Fraud: Asian Experience, Russian Prospects.- Chapter 6. AI-Driven Predictive Maintenance of Industrial Gearboxes.- Part 2: Digital Technologies in Logistics and Procurement.- Chapter 7. Digital Agents and Generative Artificial Intelligence in Support of Logistics 5.0.- Chapter 8. Digitalization of Procurement Processes: Application of Lean Methods to Improve Efficiency.- Chapter 9. Digital Transformation and Last-Mile Logistics in Food Delivery: A Comparative Analysis of Urban and Peripheral Models.- Part 3: Architecture, Systems, and Methods of Digitalization.- Chapter 10. Network Modeling Method for Optimizing the Management of Digital Industrial Ecosystem Project Implementation.- Chapter 11. Reference Architecture to Exploit Data as a Product through the Cloud-Edge Continuum.- Chapter 12. Integration of Embedded Components into Cyber-Physical Systems: Design, Analysis, and Applications.- Part 4: Regional Aspects of Digital Transformation.- Chapter 13. Regional Trajectories of Digital Transformation: A Systematic Review.- Chapter 14. Digital Pathways of Russian Regions and Their Interaction with the Local Human Capital Markets: An Evolutionary Perspective.- Chapter 15. Management Strategies for Creative Reindustrialization in Secondary-Tier Cities in the Context of Digital Transformation.- Chapter 16. Building Health Capital Through Digital Skills: Healthcare Satisfaction and Well-Being in Russian regions.- Part 5: Digital Policy in the Context of Development and Economic Growth.- Chapter 17. Digitalization, Innovation, and Competitiveness: Insights from a Cross-Country Analysis of Labor Productivity Effects.- Chapter 18. Organizational Challenges in Digital Transformation: A Review Through the Lens of Organizational Innovation.- Chapter 19. Sustainable Industrial Development: An Analysis of Trends in the Case of Russia.- Chapter 20. Strengthening Digital Trade Integration within BRICS Countries Based on an International Digital Communication Platform.- Chapter 21. Support for Scientific and Technical Cooperation of the EAEU Countries Through the Creation of a Digital Technological Platform.