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Hands-On Artificial Intelligence for IoT

You're reading from   Hands-On Artificial Intelligence for IoT Expert machine learning and deep learning techniques for developing smarter IoT systems

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788836067
Length 390 pages
Edition 2nd Edition
Languages
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Author (1):
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Dr. Amita Kapoor Dr. Amita Kapoor
Author Profile Icon Dr. Amita Kapoor
Dr. Amita Kapoor
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Table of Contents (14) Chapters Close

Preface 1. Principles and Foundations of IoT and AI FREE CHAPTER 2. Data Access and Distributed Processing for IoT 3. Machine Learning for IoT 4. Deep Learning for IoT 5. Genetic Algorithms for IoT 6. Reinforcement Learning for IoT 7. Generative Models for IoT 8. Distributed AI for IoT 9. Personal and Home IoT 10. AI for the Industrial IoT 11. AI for Smart Cities IoT 12. Combining It All Together 13. Other Books You May Enjoy

Introduction to AI-powered industrial IoT


The convergence of IoT, robotics, big data, and machine learning (ML) is creating enormous opportunities for industrial firms as well as significant challenges.

The availability of low-cost sensors, multiple cloud platforms, and powerful edge infrastructure is making it easier and profitable for industries to adopt AI. This AI-powered industrial IoT is transforming the way companies provide products and services or interact with customers and partners.

 

One of the promising areas of the AI-powered industrial IoT is preventive maintenance. Until now, industrial firms used to be reactive concerning maintenance, in the sense that they will perform maintenance either as a part of a fixed schedule, such as every six months, or only when some equipment stops functioning. For instance, a logistics company may have biannual service checks of every vehicle in its fleet and replace certain parts or entire vehicles on a set schedule. This reactive maintenance...

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