Emerging Challenges in Intelligent Management Information Systems
Proceedings of 26th European Conference on Artificial Intelligence ECAI 2023 - IMIS 2023 Workshop
Herausgegeben: Hernes, Marcin; Watróbski, Jaroslaw
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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, knowl...
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.
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.
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