Industrial Internet of Things: An Introduction

Author(s): Rahul Nijhawan*, Neha Mendirtta, Arjav Jain, Arnav Kundalia and Sunil Kumar

DOI: 10.2174/9789815238181124010011

Deep Learning and Machine Learning Algorithms in the Industrial IoT

Pp: 82-97 (16)

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Abstract

One of the latest industrial revolutions is deep transformation and human progress, which has led to the “Automation of Everything”. The physical world, along with digital interfaces and data analysis, is connected via an interconnected network of computers. This change holds the key to unlocking trillions of opportunities in the coming ten years. Productivity has improved greatly in digital and physical industries, which leads to improved quality of life and sustainability. There are loads of challenges due to the massive amount of data being collected by sensors in the current world of IIoT. This chapter aims to review the various deep learning and machine learning technologies, algorithms, and their effect on IIoT. Several applications of machine learning in gaining useful insights from IoT data are also discussed in this chapter.