Book Image

Enterprise Internet of Things Handbook

By : Arvind Ravulavaru
Book Image

Enterprise Internet of Things Handbook

By: Arvind Ravulavaru

Overview of this book

There is a lot of work that is being done in the IoT domain and according to Forbes the global IoT market will grow from $157B in 2016 to $457B by 2020. This is an amazing market both in terms technology advancement as well as money. In this book, we will be covering five popular IoT platforms, namely, AWS IoT, Microsoft Azure IoT, Google IoT Core, IBM Watson IoT, and Kaa IoT middleware. You are going to build solutions that will use a Raspberry Pi 3, a DHT11 Temperature and humidity sensor, and a dashboard to visualize the sensor data in real-time. Furthermore, you will also explore various components of each of the platforms that are needed to achieve the desired solution. Besides building solutions, you will look at how Machine Learning and IoT go hand in hand and later design a simple predictive web service based on this concept. By the end of this book, you will be in a position to implement an IoT strategy best-fit for your organization
Table of Contents (12 chapters)

Summary

In this chapter, we have learned what machine learning is and some of its basic concepts. Then we looked at the various ML options on offer from platform providers, as well as possible open source solutions.

We then tried to implement a machine learning model using Azure Machine Learning Studio, and saw how we can predict the probability of rain if we pass in the temperature and humidity. We concluded the chapter by building a web service and exposing the model so anyone can get predictions based on the model we just created.

In the next chapter, we are going to look at the various IoT use cases that can leverage what we have learned so far and add value to their systems.