Internet of things (IOT)

Introduction

Analytics is a very much essential part of human being. Human brain, which is fully capable of doing analytics, is one of the greatest and oldest machine of all time. And innovations are one of the finest products of this machine.

Innovations are becoming a new business model in fact in some cases Innovations are a basic need for human survival. Innovations are becoming a new destination for investors and government organizations. Being a software professional, sometimes I feel that bits and bytes are becoming bread and butter. In every aspect of the new challenge, now we are keen to find solutions through analytics. Analytics is a new framework whose base is technology. 

To perform the Analytics, you need data, you need devices to capture data and you need algorithms to get desired output from given data.

Nowadays data known as BigData, devices are known as semiconductors chips and algorithms are known as software packages. When all these three things are combined then different business or solution models are developed. Internet of things (IOT) is one such business or solution model.

Definition

Devices that are interconnected via the internet, exchange data amongst themselves and have the ability to do processing.

What are the key technologies involved in IOT?

1. Embedded Devices having sensors

2. BigData for storage & generating structured data

3. Software packages or Algorithm for processing

Other major technologies are networking and Security or protection (encryption & Decryption),

Where is IOT used?

  • Wearable technologies – Healthcare EcoSystem
  • Intelligent Automobile technologies – Cover vehicle condition monitoring, Intelligent prediction system, infotainment , Navigation related whole ecosystem.
  • Intelligent image processing technologies – Monitoring, Safety & Security of living & non-living things, technology based investigation, rich satellite or drone based Geographical Information system.
  • Intelligent Waterair technologies – Eco system of water and air
  • Intelligent Agro-Farm technologies – Eco system of agriculture and Farming

And other sensor-device driven technologies that can be integrated with any type of intelligent system.

Here, intelligent systems enable users to perform analytics, machine or deep learning for prediction and also offer artificial solutions.

Real life examples of IOT – Smart-watch, autonomous car, home appliances, Drones etc.