Editors:
Pethuru Raj, Edge AI Division, Reliance Jio Platforms Ltd, Bangalore, India
Abhishek Kumar, Chandigarh University, Punjab, India
Ananth Kumar, IFET College of Engineering, Tamil Nadu, India
Neha Singhal, Christ University, Central Campus, Bangalore, India
This book details cutting-edge technologies, versatile tools, adaptive processes, integrated platforms, and best practices of digitized systems. With the faster maturity and stability of digitization and digitalization technologies, all kinds of physical, mechanical, and electrical systems in our everyday environments (homes, hotels, hospitals, manufacturing floors, etc.) have become digitized systems. Such technology has empowered systems to gain the power to join and contribute to fulfilling the goals of modern computing. Such digitized entities assist in producing and deploying hugely complicated yet sophisticated context-aware services and applications. The other principal contribution is capturing environmental data in real time and enabling local data processing to bring forth actionable insights. This facilitates insight-driven decisions and deeds. Precisely speaking, the aspects of real-time knowledge discovery and dissemination enable the creation and delivery of real-time and real-world features and functionalities.
All industrial artifacts are being digitized, connected and empowered to be cognitive
in their operations, offerings and outputs. By smartly leveraging a dazzling array of
digital technologies and tools, the interaction and collaboration with human experts
becomes hugely simplified and speeded up considerably. Such cognition-
enabled industrial machineries, equipment, appliances, assembly lines, robots, vehicles,
drones, and other assets collectively provide an intelligent environment
to envisage and realize state-of-the-art industry 4.0 and 5.0 applications. Every
industrial process gets optimized and automated to produce next-generation products
to ensure customer delight, to explore fresh avenues to enhance revenues and to
embark on higher productivity.
In addition, there are chapters illustrating industrial use cases, infrastructure optimization, technology assimilation, and AI-powered data analytics towards industry automation.
- Digital Transformation
- Artificial Intelligence (AI)
- The Industrial Internet of Things (IIoT)
- Cyber-physical Systems (CPS) Â
- Ambient Intelligence (AmI)
- Digital Twins
- 5G Communication Networks
- Cybersecurity
- Industry 4.0 and 5.0 Applications
- Edge Device Clouds
- Cloud-native Computing
- Edge AI
- AI-centric Processing Units
- In-memory Computing
- Streaming Data Analytics at the Edge