Evolution of IoT & Data Analytics using Deep Learning

In today’s world, we are surrounded by enormous devices that sense some sort of data and gives a particular output. To track the record and manage that data by connecting all devices in a network in such an efficient manner that it can be utilized in favour of mankind, this is what we call as Internet of Things. It is very difficult task to manage such a huge amount of data with great efficiency, but here the Internet of Things along with concepts of Deep Learning plays a vital role in successful completion of the task. In this paper, you are about see an absolute overview about the analytics that are used to maintain and process huge amount of input data using the concepts of Deep Learning in the very domain of Internet of Things. Firstly, we start by giving a brief description about Internet of Things and some characteristics and requirements possessed by it. We will also explain some major key factors that make deep learning a good choice for implementation of Internet of Things. Also, we have discussed about the concept of Big Data and what role it has in Internet of Things. We have evaluated some research attempts made in the very domain of Internet of Things and Deep Learning. Finally, we have explained some real-life applications and the concept behind them in this paper.