Cognitive Internet of Things

The Internet of Things (IoT) concept is defined as a flexible and futuristic network where all the different types of devices and smart objects can become seamlessly connected to each other and can actively participate in all types of processes which are happening around us. The grand objective of making physical, mechanical, electrical, and electronic devices to use the deeper and extreme connectivity and service-enablement techniques is to make them intelligent in their deeds, decisions, and deals. Cognitive IoT is the application of cognitive computing technologies to the data which is generated by the connected devices of the IoT ecosystem. Cognition means thinking; however, computers are not yet fully capable of mimicking human like thought. However, the present-day computer systems can perform some functions which are like the capability of human beings to think. Cognitive Internet of Things: Enabling Technologies, Platforms, and Use Cases explains the concepts surrounding Cognitive IoT. It also looks at the use cases and such supporting technologies as artificial intelligence and machine learning that act as key enablers of Cognitive IoT ecosystem. Different Cognitive IoT enabled platforms like IBM Watson and other product specific use cases like Amazon Alexa are covered in depth. Other highlights of the book include: - Demystifying the cognitive computing paradigm - Delineating the key capabilities of cognitive cloud environments - Deep learning algorithms for cognitive IoT solutions - Natural language processing (NLP) methods for cognitive IoT systems - Designing a secure infrastructure for cognitive IoT platforms and applications

Dr. Pethuru Raj has been working as the chief architect and vice-president in the Site Reliability Engineering (SRE) division of Reliance Jio Infocomm Ltd. (RJIL), Bangalore. He was previously at IBM Global Cloud center of Excellence (CoE), Wipro consulting services (WCS), and Robert Bosch Corporate Research (CR). He has a PhD degree at Anna University, Chennai and is affiliated with the UGC-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore. He has published more than 30 research papers in peer-reviewed journals. He has authored and edited 16 books thus far and contributed 35 book chapters for various technology books. His core focus is on emerging technologies such as IoT, Blockchain, Digital Twin, Containerized Clouds, Artificial Intelligence (machine and deep learning algorithms, & Computer Vision), IT Reliability, Microservices Architecture, and fog/edge computing. Anupama Raman is currently working at Global Head-Software Academy in Continental Automotive group. She is a certified Storage Area Networking expert and is also a certified Data Center Architect. She is also certified in Cloud infrastructure and Services Management. Apart from these technical certifications, in the field of writing, she is a certified Information Mapping professional and in the field of project management, she is a certified Scrum master. She holds an M. Tech degree in Computer Science and Engineering and is currently pursuing MBA in IT Management. She has presented and published over 20 research papers in various national and international conferences and she has also written numerous book chapters with various national and international publishers. She has authored 6 books on various topics like titled Intelligent Cities - Enabling Technologies and Platforms, Big Data Analytics, Software Defined Cloud Infrastructure , Edge and Fog Computing, Architectural Design patterns, and Internet of Things. She is regular columnist of Forbes and has authored several articles for Forbes India. Harihara Subramanian is a postgraduate and computer science engineer who is practicing software development and design for the past several years, and a software architect by profession he is currently working with SABRE India as a Senior Principal Software Architect. Hari has co-authored multiple software enterprise architecture books on design patterns.

1. Describing the Cognitive IoT Paradigm 2. Demystifying the Cognitive Computing Paradigm 3. The Cognitive IoT: The Platforms, Technologies and Their Use cases 4. Delineating the Key Capabilities of Cognitive Cloud Environments 5. Machine Learning (ML) Algorithms for Enabling the Cognitive Internet of Things (CIoT) 6. Unsupervised and Semi-supervised Machine Learning Algorithms for Cognitive IoT Systems 7. Deep Learning Algorithms for Cognitive IoT Solutions 8. Computer Vision (CV) Technologies and Tools for Vision-based Cognitive IoT Systems 9. Natural Language Processing (NLP) Methods for Cognitive IoT Systems 10. Design of a Secure Infrastructure for Cognitive IoT Platforms and Applications 11. Revolutionizing Manufacturing Using Cognitive IoT Technologies 12. Edge AI - The Consumer, Social, and Industry Use Cases