Author Description

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.