This book is focused on AI-empowered knowledge management to improve processes, implementation of technology for providing easy access to knowledge and the impact of knowledge management to promote the platform for generation of new knowledge through continuous learning. The book discusses process of knowledge management which includes entirety of the creation, distribution, and maintenance of knowledge to achieve organizational objectives. It also covers knowledge management tools which enable and enhance knowledge creation, codification, and transfer within business firms thereby reducing the burden of work and allowing application of resources and effective usage towards practical tasks. An immense growth of artificial intelligence in business organizations has occurred and AI-empowered knowledge management practice is leading towards growth and development of the organization.
Evolving technological advancements in big data, smartphone and mobile software applications, the Internet of Things and a vast range of application areas in all sorts of human activities and professions, lead current research toward the efficient incorporation of artificial intelligence enhancements into software and the empowerment of software with artificial intelligence. The book at hand, devoted to Smart Software Applications in Cyber-Physical Systems, constitutes the second volume of a two-volume Handbook on Artificial Intelligence-empowered Applied Software Engineering. Topics include very significant advances in Smart Software Applications in (i) Scientific Document Processing, (ii) Enterprise Modeling, (iii) Education, (iv) Health care and Medicine, and (v) Infrastructure Monitoring. Professors, researchers, scientists, engineers, and students in artificial intelligence, software engineering, and computer science-related disciplines are expected to benefit from it, along with interested readers from other disciplines.
In recent years, most applications deal with constraint decision-making systems as problems are based on imprecise information and parameters. It is difficult to understand the nature of data based on applications and it requires a specific model for understanding the nature of the system. Further research on constraint decision-making systems in engineering is required. Constraint Decision-Making Systems in Engineering derives and explores several types of constraint decisions in engineering and focuses on new and innovative conclusions based on problems, robust and efficient systems, and linear and non-linear applications. Covering topics such as fault detection, data mining techniques, and knowledge-based management, this premier reference source is an essential resource for engineers, managers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.
This is an open access title available under the terms of a CC BY-NC-ND 4.0 License. It is free to read, download and share on Elgaronline.com. This insightful book explores the citizen-government relation, as mediated through artificial intelligence (AI). Through a critical lens, Jérôme Duberry examines the role of AI in the relation and its implications for the quality of liberal democracy and the strength of civic capacity.
This book contains the refereed proceedings of the 16th International Conference on Knowledge Management in Organizations, KMO 2022, held in Hagen, Germany, in July 2022. The 24 full papers and 5 short papers accepted for KMO 2022 were selected from 61 submissions and are organized in topical sections on: knowledge transfer and sharing; knowledge and organization; knowledge and service innovation; industry 4.0; information and knowledge systems; intelligent science; AI and new trends in KM.
Artificial intelligence (AI) and knowledge management can create innovative digital solutions and business opportunities in Asia from circular and green economies to technological disruption, innovation, and smart cities. It is essential to understand the impact and importance of AI and knowledge management within the digital economy for future development and for fostering the best practices within 21st century businesses. The Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy offers conceptual frameworks, empirical studies, and case studies that help to understand the latest developments in artificial intelligence and knowledge management, as well as its potential for digital transformation and business opportunities in Asia. Covering topics such as augmented reality. Convolutional neural networks, and digital transformation, this major reference work generates enriching debate on the challenges and opportunities for economic growth and inclusion in the region among business executives and leaders, IT managers, policymakers, government officials, students and educators of higher education, researchers, and academicians.
This book features a selection of papers presented at the Third IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2015, held in Buenos Aires, Argentina, in July 2015, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2015. The 9 revised and extended papers were carefully reviewed and selected from 15 submissions. They present new research and innovative aspects in the field of knowledge management such as knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.
This book features a selection of extended papers presented at the 7th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2019, held in Macao, China, in August 2019, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2019. The 8 revised and extended papers were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management such as machine learning, knowledge models, KM and Web, knowledge capturing and learning, and KM and AI intersections.
Leveraging the knowledge gained from Knowledge Management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM). Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance.
The success of a business is largely determined by how adaptably it can facilitate innovative digital architectures and human-based resources. By redesigning this process, businesses have also changed their growth factors to incorporate a more service-driven ecosystem focused on a configuration of resources, talent, and technologies. Business Reinvention for Ecosystem Value, Flexibility, and Empowerment: Emerging Research and Opportunities provides a holistic view of how a business sets the proper mindset in light of a plethora of digital technologies, how to systematically choreograph the right components for the reinvention, and how to strategically undertake the change journey. The content within this publication examines human value, digital business, and strategic ecosystem. It is designed for academicians, corporate managers, executives, researchers, and students.
6G Frontiers Enables readers to understand the exciting new technologies, architectural directions, technical aspects, and applications of 6G, plus legal and standardization approaches 6G Frontiers offers intelligent insight into the ongoing research trends, use cases, and key developmental technologies powering the upcoming 6G framework. The authors cover a myriad of important topics that intersect with 6G, such as hyper-intelligent networking, security, privacy, and trust, harmonized mobile networks, legal views, and standards initiatives. The work also explores the more extreme and controversial predictions surrounding 6G, such as hyper-connected smart cities, space tourism, and deep-sea tourism. Sample thought-provoking topics covered in the comprehensive work include: Evolution of mobile networks, from 0G to 6G, including the driving trends, requirements, and key enabling technologies of each generation Logistics of 6G networks, which are expected to offer peak data rates over 1 Tbps, imperceptible end-to-end delays (beneath 0.1 ms), and network availability and reliability rates beyond 99.99999% New technology requirements for 6G, such as Further enhanced Mobile Broadband (FeMBB), ultra-massive Machine-Type Communication (umMTC), Mobile BroadBand and Low-Latency (MBBLL), and massive Low-Latency Machine Type communication (mLLMT) Potential architectural directions of 6G, including zero-touch network and service management, intent-based networking, edge AI, intelligent network softwarization, and radio access networks A complete and modern resource for understanding the potential development, logistics, and implications of 6G networks, 6G Frontiers is a must-read reference for researchers, academics, and technology architects who wish to understand the cutting-edge progress that is being made towards better and faster wireless mobile technology.