This book clarifies for readers concepts of cognitive Internet of Things (IoT) along with the use cases and other supporting technologies like artificial intelligence and machine learning that are key enablers of the cognitive IoT ecosystem. Different platforms like IBM Watson and product specific use cases like Amazon Alexa are covered in detail.

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