Overview
Artificial intelligence (AI), machine learning, and IoT are transforming how organizations operate, especially in the age of hybrid work and global collaboration. Collaboration technologies have become essential tools for connecting people, enhancing communication, and enabling real-time decision-making across distances. AI is now taking a central role in this space, powering innovations like virtual assistants and intelligent video conferencing to improve efficiency and collaborative experiences. As technology evolves, it's increasingly adapting to human needs rather than the other way around, offering more personalized and context-aware solutions. However, challenges like security and miscommunication remain, highlighting the need for interdisciplinary research and thoughtful implementation. Further exploration of the most effective AI collaboration technologies and strategies may ensure seamless, secure, and impactful integration in modern organizations. Powering e-Collaboration Through AI, Machine Learning, and Internet of Things explores recent advancements in AI-powered collaboration technologies and tools, uncovering the potential AI holds for organizations and the future of work itself, with a focus on state-of-the-art approaches, methodologies, and systems for the design, development, deployment, and innovative use of those technologies and applications to advance organizations. It examines AI and e-collaboration driving powerful technology tools that simulate human intelligence. This book covers topics such as chatbots, virtual technology, and ethics and law, and is a useful resource for business owners, computer engineers, academicians, researchers, and data scientists.
Full Product Details
Author: Jingyuan Zhao
Publisher: IGI Global
Imprint: Information Science Reference
ISBN: 9798337323732
Pages: 326
Publication Date: 19 September 2025
Audience:
College/higher education
,
Professional and scholarly
,
Tertiary & Higher Education
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: In Print
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Author Information
Jingyuan Zhao obtained her PhD in Management Science and Engineering from University of Science and Technology of China. She completed postdoctoral programs respectively in Technological Economics with Harbin Institute of Technology, in Management of Technology with Université du Québec à Montréal, in Innovation and Governance with University of Toronto, in Mathematical and Computational Science with University of Toronto Mississauga. Dr. Zhao's research expertise includes management of technology innovation, behaviour and information technology, high-tech industries, multinational governance, and science and technology policy. Dr. Zhao also has extensive industry experience and provides consulting services to major corporations such as China Mobile. She serves as editor-in-chief of International Journal of e-Collaboration(IJeC).
