Название: Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and ApplicationsАвтор: Parikshit N. Mahalle, Gitanjali R. Shinde, Prachi M. Joshi
Издательство: Bentham Science Publishers
Серия: IoT and Big Data Analytics (Volume 4)
Год: 2023
Страниц: 196
Язык: английский
Формат: pdf (true), epub
Размер: 32.1 MB
This volume showcases upcoming trends and applications that are set to redefine our technological landscape. Chapters comprise referenced reviews focused on the recent research that introduces new methods and techniques for using AI in Industry 4.0, and the integration of Internet of Things (IoT) to drive new industrial processes. The contributors have discussed challenges in industry 4.0 along with the applications and the way it is shaping different industries. Key themes: AI in Communication Media: Uncover the latest research, with insights into the challenges and adoption of AI in remote processes. New AI Techniques for Industry 4.0: Learn about technologies such as blockchains and applications of machine learning, deep learning, and image processing. IoT and AI for Smart Systems: Understand IoT with a special focus on enhancing smart systems, in different industries, including agriculture and transaction processing Explorable AI: Gain a quick understanding of Explainable AI (XAI) and its role in improving the predictability and transparency of IoT applications. Whether you're a tech enthusiast, researcher, or industry professional, this book offers a glimpse into the innovative world of Industry 4.0 and its intersection with AI, IoT, Big Data, and cloud computing.
The book is divided into three sections that include challenges, convergence with AI and IoT Applications and Industry 4.0. It starts with a comprehensive study of AI, IoT, Cloud Computing, and Blockchain Technologies. The Internet of Things (IoT), blockchain technology, and Artificial Intelligence (AI) are now acknowledged as advancements with the potential to change entire industries and enhance existing business processes. Blockchain, for instance, offers a shared and decentralized distributed ledger that can improve corporate operations' trust, transparency, security, and privacy. Similar to a register, a distributed ledger or blockchain can be used to hold any type of asset. For the German and European industries, automation of industries and user-friendliness of business processes are crucial. Finally, AI enhances business processes by identifying trends and maximizing their results. AI is structured based on a human mindset and an approach that is human-centered.
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