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Artificial intelligence and digital transformation = from innovation to implementation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Artificial intelligence and digital transformation/ edited by Fei Tao ... [et al.].
Reminder of title:	from innovation to implementation /
other author:	Tao, Fei.
Published:	Cham :Springer Nature Switzerland : : 2025.,
Description:	xxiv, 403 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-032-00118-4
ISBN:	9783032001184

Artificial intelligence and digital transformation = from innovation to implementation /
Artificial intelligence and digital transformationfrom innovation to implementation /[electronic resource] :edited by Fei Tao ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xxiv, 403 p. :ill., digital ;24 cm. - Lecture notes in information systems and organisation,v. 782195-4976 ;. - Lecture notes in information systems and organisation ;v. 78..

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.

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 16-17, 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.

ISBN: 9783032001184

Standard No.: 10.1007/978-3-032-00118-4doiSubjects--Topical Terms:

516317
Artificial intelligence.

LC Class. No.: Q335

Dewey Class. No.: 006.3

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520 $a 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 16-17, 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.
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