Emerging Challenges Intelligent Management (62 results)

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Taschenbuch. Condition: Neu. Emerging Challenges in Intelligent Management Information Systems | Proceedings of 27th European Conference on Artificial Intelligence ECAI 2024 - IMIS Workshop. Volume 1 | Marcin Hernes (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xv | Englisch | 2024 | Springer | EAN 9783031784644 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains the first volume of proceedings of the ECAI 2024 Workshop on Intelligent Management Information Systems (IMIS 2024). IMIS 2024 was part of the 27th European Conference on Artificial Intelligence ECAI 2024, held in Santiago de Compostela from October 19, 2024, to October 24, 2024.The book discusses emerging challenges related to implementing artificial intelligence in management information systems. The main focus is put on machine learning, including deep learning to support business processes, artificial intelligence for financial systems and cryptocurrencies, hybrid artificial intelligence, and multiple criteria decision analysis methods.The book is divided into three major parts covering the main issues related to the topic. The first part presents issues related to application of artificial intelligence in information systems. The second part is devoted to advanced machine learning and data processing methods to support business processes. The third part is devoted to intelligent multiple-criteria decision analysis methods.The book has an interdisciplinary character; therefore, it is intended for a broad scope of readers, including researchers, students, managers, and employees of business organizations, software developers, IT, and management specialists.

Paperback. Condition: new. Paperback. This book contains the second volume of proceedings of the ECAI 2025 Workshop on Intelligent Management Information Systems (IMIS 2025). IMIS 2025 was part of the 28th European Conference on Artificial Intelligence ECAI 2025, held in Bologna, Italy from October 25, 2025, to October 30, 2025.The book discusses emerging challenges related to implementing artificial intelligence (AI) in Management Information Systems (IMIS). It explores the application of artificial intelligence AI across various business, technology, and science domains and underlines AI's primary and fundamental role in revolutionizing management information systems by providing intelligent solutions to complex problems.The main focus is put on application of AI supply chains, financial risk management, and anomaly detection in networks. It also discusses the use of AI in banking, data management, e-commerce, education, and sustainability, focusing on improving process efficiency and supporting decision-making in dynamic business environments. It highlights implementation challenges such as costs, integration with existing systems, and skill gaps, as well as the importance of human-computer interfaces and intelligent information management.The volume is divided into four major parts covering the main issues related to the topic. The first part presents application of AI concepts, methods and tools for supporting business processes. The second part focuses on developing intelligent methods for advanced decision support systems. The third part delves into research related to soft AI approaches, methods and tools for improving Management Information Systems. The fourth part addresses the research related to human problems in the broader process of interaction with the IMIS.The book has an interdisciplinary character; therefore, it is intended for a broad scope of readers, including researchers, students, managers and employees of business organizations, software developers, IT and management specialists. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Condition: new. Paperback. This book is an interdisciplinary exploration of how artificial intelligence reshapes management information systems. Discover cutting-edge strategies for applying artificial intelligence to enhance decision-making, optimize business processes, and manage knowledge effectively. What sets this book apart is its integrative approach, bridging theory, methodology, and real-world case studies to address current challenges in AI-driven decision-making, automation, and knowledge management. Covering applications from customer analytics and robotic process automation to digital transformation and misinformation detection, it provides a comprehensive view of emerging AI trends. It is designed for researchers, practitioners, students, and technology professionals, this volume serves as both a scholarly reference and a practical guide for leveraging AI to enhance efficiency, innovation, and strategic decision-making across sectors. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Paperback. Condition: new. Paperback. This book is an interdisciplinary exploration of how artificial intelligence reshapes management information systems. Discover cutting-edge strategies for applying artificial intelligence to enhance decision-making, optimize business processes, and manage knowledge effectively. What sets this book apart is its integrative approach, bridging theory, methodology, and real-world case studies to address current challenges in AI-driven decision-making, automation, and knowledge management. Covering applications from customer analytics and robotic process automation to digital transformation and misinformation detection, it provides a comprehensive view of emerging AI trends. It is designed for researchers, practitioners, students, and technology professionals, this volume serves as both a scholarly reference and a practical guide for leveraging AI to enhance efficiency, innovation, and strategic decision-making across sectors. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

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Taschenbuch. Condition: Neu. Emerging Challenges in Intelligent Management Information Systems | Proceedings of 28th European Conference on Artificial Intelligence ECAI 2025 - IMIS Workshop, Volume 1 | Marcin Hernes (u. a.) | Taschenbuch | xvii | Englisch | 2026 | Springer | EAN 9783032138682 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: Neu. Emerging Challenges in Intelligent Management Information Systems | Proceedings of 28th European Conference on Artificial Intelligence ECAI 2025 - IMIS Workshop, Volume 2 | Marcin Hernes (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xviii | Englisch | 2025 | Springer | EAN 9783032066107 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: Neu. Emerging Challenges in Intelligent Management Information Systems | Proceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop | Marcin Hernes (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xv | Englisch | 2024 | Springer | EAN 9783031667602 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Condition: new. Paperback. This book is an interdisciplinary exploration of how artificial intelligence reshapes management information systems. Discover cutting-edge strategies for applying artificial intelligence to enhance decision-making, optimize business processes, and manage knowledge effectively. What sets this book apart is its integrative approach, bridging theory, methodology, and real-world case studies to address current challenges in AI-driven decision-making, automation, and knowledge management. Covering applications from customer analytics and robotic process automation to digital transformation and misinformation detection, it provides a comprehensive view of emerging AI trends. It is designed for researchers, practitioners, students, and technology professionals, this volume serves as both a scholarly reference and a practical guide for leveraging AI to enhance efficiency, innovation, and strategic decision-making across sectors. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Taschenbuch. Condition: Neu. Emerging Challenges in Intelligent Management Information Systems | Proceedings of 27th European Conference on Artificial Intelligence ECAI 2024 - IMIS Workshop. Volume 2 | Marcin Hernes (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xv | Englisch | 2024 | Springer | EAN 9783031784675 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains the proceedings of the ECAI 2023 Workshop on Intelligent Management Information Systems (IMIS 2023). IMIS 2023 was part of the 26th European Conference on Artificial Intelligence ECAI 2023, held in Krakow from September 30, 2023, to October 4, 2023.The book discusses emerging challenges related to implementing artificial intelligence in Management Information Systems. The main focus is put on machine learning, including deep learning to support business processes, artificial intelligence for financial systems and cryptocurrencies, intelligent human-computer interfaces, knowledge management in business organizations, hybrid artificial intelligence, and multiple criteria decision analysis methods.The book is divided into four major parts covering the main issues related to the topic. The first part presents issues related to application of artificial intelligence in information systems. The second part is devoted to advanced machine learning methods to support business processes. The third part presents problems related to the social aspects of artificial intelligence in management. The fourth part is devoted to intelligent multiple criteria decision analysis methods.The book holds an interdisciplinary character; therefore, it is intended for a broad scope of readers, including researchers, students, managers, and employees of business organizations, software developers, IT, and management specialists.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is an interdisciplinary exploration of how artificial intelligence reshapes management information systems. Discover cutting-edge strategies for applying artificial intelligence to enhance decision-making, optimize business processes, and manage knowledge effectively. What sets this book apart is its integrative approach, bridging theory, methodology, and real-world case studies to address current challenges in AI-driven decision-making, automation, and knowledge management. Covering applications from customer analytics and robotic process automation to digital transformation and misinformation detection, it provides a comprehensive view of emerging AI trends. It is designed for researchers, practitioners, students, and technology professionals, this volume serves as both a scholarly reference and a practical guide for leveraging AI to enhance efficiency, innovation, and strategic decision-making across sectors.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains the second volume of proceedings of the ECAI 2025 Workshop on Intelligent Management Information Systems (IMIS 2025). IMIS 2025 was part of the 28th European Conference on Artificial Intelligence ECAI 2025, held in Bologna, Italy from October 25, 2025, to October 30, 2025.The book discusses emerging challenges related to implementing artificial intelligence (AI) in Management Information Systems (IMIS). It explores the application of artificial intelligence AI across various business, technology, and science domains and underlines AI's primary and fundamental role in revolutionizing management information systems by providing intelligent solutions to complex problems.The main focus is put on application of AI supply chains, financial risk management, and anomaly detection in networks. It also discusses the use of AI in banking, data management, e-commerce, education, and sustainability, focusing on improving process efficiency and supporting decision-making in dynamic business environments. It highlights implementation challenges such as costs, integration with existing systems, and skill gaps, as well as the importance of human-computer interfaces and intelligent information management.The volume is divided into four major parts covering the main issues related to the topic.The first part presents application of AI concepts, methods and tools for supporting business processes.The second part focuses on developing intelligent methods for advanced decision support systems.The third part delves into research related to soft AI approaches, methods and tools for improving Management Information Systems. The fourth part addresses the research related to human problems in the broader process of interaction with the IMIS.The book has an interdisciplinary character; therefore, it is intended for a broad scope of readers, including researchers, students, managers and employees of business organizations, software developers, IT and management specialists.

Condition: New.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains the second volume of proceedings of the ECAI 2024 Workshop on Intelligent Management Information Systems (IMIS 2024). IMIS 2024 was part of the 27th European Conference on Artificial Intelligence ECAI 2024, held in Santiago de Compostela from October 19, 2024, to October 24, 2024.The book discusses emerging challenges related to implementing artificial intelligence in management information systems. The main focus is put on knowledge management and machine learning methods in information systems, artificial intelligence for decision support systems, intelligent customer management methods, hybrid artificial intelligence, and multiple criteria decision analysis methods and advanced computational methods for support business processes and decision-making.The book is divided into three major parts covering the main issues related to the topic. The first part presents issues related to the knowledge management in intelligent information systems. The second part is devoted to application of machine learning in management information systems. The third part presents problems related to multiple criteria decision analysis and computational methods.The book has an interdisciplinary character; therefore, it is intended for a broad scope of readers, including researchers, students, managers, and employees of business organizations, software developers, IT, and management specialists.

Paperback. Condition: Brand New. 359 pages. 9.25x6.10x9.21 inches. In Stock.

Paperback. Condition: Brand New. 381 pages. 6.10x0.87x9.25 inches. In Stock.

Paperback. Condition: Brand New. 422 pages. 9.26x6.11x9.25 inches. In Stock.