IoT and Big Data Driving Need for Data Scientists

These days, it is hard to have a discussion about technology without invoking the words Internet of Things (IoT) and Big Data. These two buzz-generating topics are rightfully treated as separate entities, but at the same time, they are very closely related.

The IoT refers to everyday objects with sensors embedded into them that are connected to the internet so that various items and activities can be tracked and analyzed. Some examples of IoT devices include smart thermostats, lights, cars, refrigerators, and other appliances. Wearable devices like the FitBit and Apple Watch also fall into this category.

Big Data, meanwhile, refers to the all of the data that is culled by these devices, and its sheer quantity can be staggering. There are what’s known as the “four Vs” that characterize big data. the Variety of data involved, the Vast amount of it that is collected, the high–speed Velocity at which it arrives, and its uncertain value, or Veracity. It is important to keep in mind that it is not the data itself that is the big game-changer; it’s what is done with it has such tremendous potential to transform our lives, and that’s where data scientists come in to play.

Need for Data Scientists Remains Strong

In some camps, there has been a lot of talk about how artificial intelligence (AI) is taking away human jobs, particularly when it comes to data scientists. Even though machines are growing better at learning every day, AI’s applications remain rather limited. While artificial intelligence can be used to help process this data to some extent, there is still a need for humans to get involved. Data scientists remain in high demand, particularly when it comes to dealing with IoT and Big Data in autonomous vehicles. Humans with actual driving experience are required to successfully analyze the data that comes from these vehicles and program them to respond to certain conditions in a particular way.

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