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Automobile Innovation using Big Data

2 min read
Automobile Innovation

image by unsplash


In the past, the human mind has been singularly liable for making decisions about automobile design, manufacturing and safety regulations. The influx of massive data, however, including the improved computing capabilities and constant connectivity of AI technologies, has changed the sport . These technological developments have surpassed the capabilities of the human mind and revolutionized the planet of driving. From city design to manufacturing, here, we’ll explore how big data is employed to form important driving-related decisions:

Automobile Innovation and Advancement

Automobile Innovation
image by unsplash

Automobile design and manufacturing has always been a fast-moving business, with major manufacturers eagerly racing to boost the bar in efficiency, safety, and environmental-friendliness. The advancements in computing capabilities and large data availability, however, seem to possess further quickened the speed at which this innovation is happening, also as broadening the horizons on the sort of innovation. Today, big data is exceptionally useful in understanding what new technologies to take a position in, just like the development of hydrogen cell vehicles — vehicles that have a smaller carbon footprint than gas vehicles and a bigger range than electric vehicles.

Big data has also furthered existing research, elevating it to new heights. as an example, automobile manufacturers are performing on the event of self-driving cars for a short time. Big data has allowed manufacturers to require much larger strides towards the truth of self-driving cars by providing them with the info needed for deep learning technology to try to its work. BMW is already collecting data from cars so as to tell their self-driving cars of the longer term, including “machine data like braking force, wiper, and headlight use, video data from on-board cameras, and GPS data”.

However, data does accompany a downside. during a statement about self-driving cars, Bryant Robinson, a law professor at the University of South Carolina who studies the impact of autonomous technology on society, states that “these sensor-heavy systems are going to be enormous data harvesters” which can provide big carmakers with their consumers’ sensitive and private data. If these major manufacturers don’t proceed with integrity and respect, it could have devastating consequences for us all.

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