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Emerging Challenges in Intelligent Management Information Systems : Proceedings of 28th European Conference on Artificial Intelligence ECAI 2025 - IMIS Workshop, Volume 1 / edited by Marcin Hernes, Ewa Walaszczyk, Artur Rot.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Hernes, Marcin.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1767
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Business.
- Management science.
- Engineering--Data processing.
- Engineering.
- Computational Intelligence.
- Artificial Intelligence.
- Business and Management.
- Data Engineering.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Business and Management.
- Data Engineering.
- Physical Description:
- 1 online resource (536 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- 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.
- Contents:
- Improving Public Contract Management with LLMs: A Q&A System
- A Machine Learning Approach to Retail Customer Segmentation: Behaviour Analysis and Transition Probability Modelling
- Evaluating the Validity of Agent-Based Models: Challenges and Methodological Approaches
- Extracting Key Features from Data Science Related Job Offers: A Data-Driven Approach.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-032-13869-8
- 9783032138699
- OCLC:
- 1572187167
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