Artificial intelligence (AI) and the Internet of Things (IoT) converge to create smart, interconnected systems. This intelligent connectivity enhances the efficiency and innovation of the systems with greater automation, improved decision-making capabilities, and faster reaction times. By amplifying each other, they can transform engineering, security, and management in numerous settings. As a result, their blending is shaping the future of technology in smart cities, healthcare, agriculture, and other sectors. Merging Artificial Intelligence With the Internet of Things stimulates further research into AIoT applications and provides a robust framework for teaching the next generation of tech innovators. By presenting a blend of theoretical knowledge and practical case studies, it bridges the gap between academia and industry, encouraging interdisciplinary research and collaboration. Covering topics such as bio-inspired algorithms, clinical care, and food security, this book is an excellent resource for technology professionals, technology developers, industry leaders, policymakers, professionals, researchers, scholars, academicians, and more.
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Muhammad Usman Tariq has more than 16+ year’s experience in industry and academia. He has authored more than 200+ research articles, 110+ case studies, 150+ book chapters and several books other than 4 patents. He is founder and CEO of The Case HQ, a unique repository for courses, narrative and video case studies. He has been working as a consultant and trainer for industries representing six sigma, quality, health and safety, environmental systems, project management, and information security standards. His work has encompassed sectors in aviation, manufacturing, food, hospitality, education, finance, research, software and transportation. He has diverse and significant experience working with accreditation agencies of ABET, ACBSP, AACSB, WASC, CAA, EFQM and NCEAC. Additionally, Dr. Tariq has operational experience in incubators, research labs, government research projects, private sector startups, program creation and management at various industrial and academic levels. He is Certified Higher Education Teacher from Harvard University, USA, Certified Online Educator from HMBSU, Certified Six Sigma Master Black Belt and has been awarded PFHEA, SFSEDA, SMIEEE, and CMBE.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. Merging Artificial Intelligence With the Internet of Things | Muhammad Usman Tariq | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798369385517 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 133476445
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial intelligence (AI) and the Internet of Things (IoT) converge to create smart, interconnected systems. This intelligent connectivity enhances the efficiency and innovation of the systems with greater automation, improved decision-making capabilities, and faster reaction times. By amplifying each other, they can transform engineering, security, and management in numerous settings. As a result, their blending is shaping the future of technology in smart cities, healthcare, agriculture, and other sectors. Merging Artificial Intelligence With the Internet of Things stimulates further research into AIoT applications and provides a robust framework for teaching the next generation of tech innovators. By presenting a blend of theoretical knowledge and practical case studies, it bridges the gap between academia and industry, encouraging interdisciplinary research and collaboration. Covering topics such as bio-inspired algorithms, clinical care, and food security, this book is an excellent resource for technology professionals, technology developers, industry leaders, policymakers, professionals, researchers, scholars, academicians, and more. N° de réf. du vendeur 9798369385517
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