The Internet of Things (Io T) 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 Io T is the application of cognitive computing technologies to the data which is generated by the connected devices of the Io T 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 Io T. It also looks at the use cases and such supporting technologies as artificial intelligence and machine learning that act as key enablers of Cognitive Io T ecosystem. Different Cognitive Io T 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 Io T solutions
- Natural language processing (NLP) methods for cognitive Io T systems
- Designing a secure infrastructure for cognitive Io T platforms and applications
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