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Integrating Artificial Intelligence and IoT for Smarter Collaboration

Integrating Artificial Intelligence and IoT for Smarter Collaboration
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Author(s): Hitesh Mohapatra (School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India), Abhishek Guru (Department of Computer Science and Engineering, Mats School of Engineering and Technology, MATS University, Raipur, India)and Ashwini Kumar Pradhan (School of Computer Science and Engineering, Galgotias University, Greater Noida, India)
Copyright: 2026
Pages: 28
Source title: Powering e-Collaboration Through AI, Machine Learning, and Internet of Things
Source Author(s)/Editor(s): Jingyuan Zhao (University of Toronto, Canada)
DOI: 10.4018/979-8-3373-2372-5.ch002

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Abstract

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT), known as AIoT, is driving significant advancements in smart collaboration across industries. By combining IoT's data-gathering capabilities with AI's analytical power, AIoT systems enable real-time decision-making, automation, and optimization in areas like manufacturing, healthcare, and smart cities. This chapter examines how AI interprets IoT-generated data to enhance efficiency, sustainability, and productivity. Key use cases are highlighted, demonstrating the synergy between AI and IoT in improving processes, reducing energy consumption, and bolstering safety measures. Challenges such as data security, latency, and device compatibility are addressed, with potential solutions like edge computing and secure frameworks proposed. The chapter concludes with a forward-looking perspective on how AIoT can transform industries and reshape human-machine collaboration, paving the way for smarter, more connected environments.

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