Impact of IoT on Data Science

Imagine you wake up by the aroma of freshly brewed coffee, the light entering your room, and by a gentle massage by your hi-tech bed, rather than a traditional alarm. This is because you are being monitored by the sensor present in the bed. Moving on, you might have a little time left before going to work. Here, your car knows your time to leave for office on the basis of the data captured on a daily basis. Accordingly, it communicates with the wristwatch to give you a countdown so that you can get in your car in time.

This is quite amazing and we all are heading towards a world of the Internet of Things.

What is IoT?

Internet of things is a collection of objects that are unique and can connect to the Internet. These objects could be anything that can connect to the Internet and with each other so that they can communicate with each other. However, there is no specification about what these devices can do or cannot do. Some considerations of such devices are mentioned below.

Significance of IoT

The search for IoT is gaining significance as compared to Big Data. There are various scenarios that need to be studied to understand why this is being searched. There are various examples of consumer and industrial applications that are set to change how we work and communicate with the world. To understand how IoT has evolved over time, you need to analyze the hype cycle.

The data generated through IoT is expected to explode. It is also supported by the fact that, a recent survey showed that the data generated by all mobile devices are expected to grow 4 times in 3 years. This will require a more agile infrastructure and also you need to understand how you are going to manage data across devices and make sense out of it.

Challenges with IoT

There are a lot of challenges in realizing IoT.

  1. How do you get devices from different manufacturers to communicate with each other? – How to communicate critical data
  2. Design requirements and communication regimes – With different applications there are as many scenarios with different complexities
  3. Privacy of customers – Customer privacy can be exposed at personal and industrial levels
  4. Information Security – Each device has their own security challenge.

The Internet of Things (IoT) has enabled the organizations to strengthen their customer engagements by connecting various IoT applications. However, the number of connected elements is expected to explode in the coming years. With the advancement in IoT based application, there is a challenge in validating connected IoT applications, which includes its support for data volume, velocity, variety, and veracity.

360logica has developed a comprehensive and unique testing strategy to tackle any challenges associated with validating IoT applications. 360logica makes use of the real devices, tools, and frameworks to perform testing of IoT applications. The IoT test framework developed by 360logica can be easily integrated with various platforms and IoT protocols. The in-house tools can be used to recreate real-time scenarios and when combined with simulators, can facilitate enhanced automation. Our in-depth expertise and offerings make IoT application testing hassle-free and simple.


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