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 electronics 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

1. Describing the Cognitive IoT Paradigm2. Demystifying the Cognitive Computing Paradigm3. The Cognitive IoT: The Platforms, Technologies, and their Use cases4. Delineating the Key Capabilities of Cognitive Cloud Environments5. 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 Solutions8. Computer Vision (CV) Technologies and Tools for Vision-based Cognitive IoT Systems9. Natural Language Processing (NLP) Methods for Cognitive IoT Systems10. Design of a Secure Infrastructure for Cognitive IoT platforms and Applications11. Revolutionizing Manufacturing using Cognitive IoT Technologies12. Edge AI ⁰́₃ Consumer, Social and Industry Use Cases

OCLC-licensed vendor bibliographic record.