Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications 1st Edition

Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications — 1st Edition by Parikshit N. Mahalle

Capture the future of manufacturing and digital transformation with this clear, practical guide that unpacks the convergence of AI, IoT, Big Data and Cloud Computing. Perfect for engineers, managers, researchers and students, this book presents the fundamentals of Industry 4.0 alongside real-world challenges and actionable applications.

Explore the core building blocks of smart factories and cyber-physical systems: sensor networks, edge and cloud architectures, machine learning-driven analytics, and scalable data platforms. The author demystifies complex topics—predictive maintenance, supply chain optimization, real-time analytics, and industrial automation—making them accessible without losing technical rigor.

Understand the practical challenges that organizations face when adopting Industry 4.0: interoperability, data privacy, security, latency, and workforce reskilling. Each chapter balances theory with applied insights, helping readers evaluate risks, design resilient architectures, and implement scalable AI and IoT solutions.

Whether you’re leading digital initiatives in Asia, Europe, the Americas, or exploring Industry 4.0 in regional manufacturing hubs, this book provides a global perspective with locally relevant considerations. It’s an essential reference for those seeking to bridge strategy and implementation—transforming data into value and innovation.

Ready to build smarter operations and future-proof your organization? Add this comprehensive, professionally written volume by Parikshit N. Mahalle to your collection and begin turning Industry 4.0 concepts into measurable outcomes.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.