Big data means big profits for the future of business initiatives. As the world becomes more connected, data is being acquired and shared in a way that helps companies understand their users in new and exciting ways.

However, as our devices become more connected, the amount of data that is required for these connections is daunting. While smart devices are gathering data like never before, that data is worthless unless companies have the ability to filter and interpret the information. This is where big data and IoT technology intersect.

In many ways, the future advancements of IoT technology depend on the efficiency and scalability of big data. Without the proper tools to harness the data gathered to develop actionable intelligence, IoT advancements will come to a halt.

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Big Data Is The Backbone For The Internet of Things

As IoT continues to develop there will stay constant changes in how companies use The Cloud and how they leverage big data techniques to understand the unlimited data generated by IoT devices.

In the Internet of things (IoT) every system produces information. While each system provides little and infrequent amounts of data, the total amount of data from thousands or tens of dozens of thousands of IoT devices in our cities will generate staggering amounts random data.

One step that stands in the way of mass adoption at this time is that IoT is largely unregulated. There is a call by lawmakers and watchdog groups to implement general standardization rules, enabling the Internet of Points to work more seamlessly, as the market continues to grow. This can be especially important as IoT technology continues to broaden from smart personal devices and begins to creep into autonomous cars and even smart cities.

Data Is Going To Drive Autonomous Vehicles

Autonomous cars rely on information to see and interpret the world around them. This means they are going to be transmitting massive amounts of data to onboard systems, along with other vehicles via advanced communication systems.

To allow cars to drive themselves each self-driving car will be outfitted with technologies to collect and communicate vital information about each self-driving car, including:

• Current location and GPS data
• Speed and velocity
• Expected driving path
• Acceleration and braking status
• Proximity to pedestrians
• Recognition of road signs
• Hazardous objects on the road

With the collection of the massive amount of information, autonomous cars will transmit a large volume of data being computed in near real-time. Self-driving cars can reply to dangers or notify the vehicle owner of next mechanical issues, where case it might immediately set up an appointment with all the closest auto-body shop.

Big data will also begin to reshape the safety equipment used in construction zones and roadways. Today’s safety equipment is made for humans, but in the future big data will change everything, including safety traffic cone design to include sensors to communicate with autonomous cars and other vehicles in the area.

How The Auto Industry Is Being Driven By Big-Data

Ford and Tesla have been leveraging real-time data t to enhance consumer experience and operational security of their self-driving vehicle project.

Data was collected by Ford from over 4-million of their cars outfitted with sensors and remote application management software to boost fuel consumption and emissions, as well as quality requirements.

As autonomous cars continue to advance, the promise of self-driving vehicles depends on the collection, transmission, and interpretation of massive amounts of volume while traveling on our city streets. The future of autonomous vehicle technology looks bright as more automakers improve security and intelligence of self-driving information!

Author Bio

This article has been written by Chris Giarratana. He is a Copywriter in Orlando, FL who specializes in digital marketing, emerging technologies, and transportation issues.

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