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À propos de l'auteur
Jingyuan Zhao obtained her PhD in Management Science and Engineering from University of Science and Technology of China. Dr. Zhao's research expertise includes management of technology innovation, innovation and entrepreneurship, behaviour and information technology, regional innovation systems and global innovation networks, high-tech industries, multinational governance, and science and technology policy. She has teaching experience of 15 years at the graduate and undergraduate level. Research portfolio includes peer-reviewed articles in highly regarded journals, authored books, multiple book chapters, and conference presentations. 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).
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Powering e-Collaboration Through AI, Machine Learning, and Internet of Things
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Powering E-Collaboration Through AI, Machine Learning, and Internet of Things
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Powering e-Collaboration Through AI, Machine Learning, and Internet of Things
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Powering e-Collaboration Through AI, Machine Learning, and Internet of Things
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Powering E-Collaboration Through AI, Machine Learning, and Internet of Things
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Powering E-Collaboration Through AI, Machine Learning, and Internet of Things
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Powering E-Collaboration Through AI, Machine Learning, and Internet of Things
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Powering e-Collaboration Through AI, Machine Learning, and Internet of Things
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9798337323732
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Powering e-Collaboration Through AI, Machine Learning, and Internet of Things
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Powering e-Collaboration Through AI, Machine Learning, and Internet of Things (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
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Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337323732
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