Soumi Majumder, Nilanjan Dey

AI-empowered Knowledge Management (eBook, PDF)

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 114
• Erscheinungstermin: 23. Februar 2022
• Englisch
• ISBN-13: 9789811903168
• Artikelnr.: 63497168

Autorenporträt

Soumi Majumder completed her PGDM, specialization in Human Resource Management from All India Management Association ( Institute of Business Management, Jadavpur University) in 2012. She did Diploma in Labour laws with Administrative laws (DLLAL) and Masters in Human Resource Management (MHRM) from Annamalai University, under Tamilnadu Govt in 2013 and 2019 respectively. Currently, she is a Ph.D. student of the Department of Business administration Dept. at Vidyasagar University, Midnapore, West Bengal, India. She is associated with the School of Business- Sister Nivedita University, WB, India and Dept. of Business Administration, Netaji Subhash Engineering College, Kolkata. She is an associate researcher of Universidad Internacional de La Rioja, Logroño, La Rioja, Spain. Previously, she was associated with Techno India College of Technology, NSHM College of Management and Technology, Dinabandhu Andrews Institute of Technology and Management, J D BirlaInstitute of Science and Commerce, Future Institute of Engineering and Management, West Bengal State Labor Institute, Siliguri, Department of Management Science etc. She is having 6 years of experience in academia and 2 years of industrial experience. She is having 2 books (Springer Nature, CRC press) and 20 publications in the area of quality work-life, decent work-life, work-life balance, stress management, employee engagement, job satisfaction, leadership, training, and learning, etc. She has presented a research article at DSMLAI 2021 organized by India -Namibia Centre of Excellence in Information Technology, Namibia University of Science and Technology, Namibia. Furthermore, she is a member of the All India Management Association, ACM, IS, NIPM etc.

Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence (IGI Global). He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research (Springer Nature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is having 110 books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Indian Ambassador of the International Federation for Information Processing-Young ICT Group and Senior member of IEEE.

Inhaltsangabe

Introduction to Knowledge Management.- Tools for Knowledge Management.- Knowledge Management in Various Sectors.- Knowledge Management System.- Artificial Intelligence and Knowledge Management.- Explainable Artificial Intelligence (XAI) for Knowledge Management (KM).- Explainable AI for Knowledge Management.- Conclusions.

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