Big Data is already a big deal. It is poised to become an even bigger deal in 2018, as Big Data is applied on a larger scale of use cases, from driverless cars to IoT.
2018 Big Data Use Cases: Not Exactly New, But Growing Fast
Many of the Big Data use cases described below are not totally new. Over the coming year, however, they are in a position to grow and become more important as organizations look for new ways to leverage data.
1. Driverless Cars
When you take a human driver out of a car, you need data to replace him or her. Data about factors like traffic and the environment is crucial for allowing a car to navigate effectively.
The experimental driverless cars that exist today are already powered by Big Data. Going forward, however, the amount of data that driverless cars require is set to grow even larger. Google’s self-driving cars already collect one gigabyte of data per second. They’ll need even more data – and stronger analytics – as they evolve to the point where infamous driverless car crashes become a thing of the past.
Driverless cars are not the only part of the transportation sector that is being transformed by data. The aviation industry, too, is improving the ability of planes to fly more safely and accurately with data – even if they still have humans at the controls.
Big Data Use Cases: The aviation industry is leveraging data to increase navigation accuracy and improve safety.
For decades, planes have relied on sensors to collect flight information. However, the latest innovations in aircraft design include engines that sport 5,000 sensors and generate 10 gigabytes of data per second. Developments like this reflect an exponential increase in the importance of Big Data and analytics for aviation.
3. Internet of Things
The Internet of Things (IoT) continues to grow at a fast clip. The growth is the result not just of demand for “smart” consumer devices – like Apple Watches and Internet-connected thermostats – but also the rapid expansion of IoT sensors and other devices in industries like manufacturing and healthcare.
With more and more IoT devices comes more and more data – and more and more opportunities to leverage IoT data to gain insights and improve business operations.
See also: The IoT-Big Data Convergence
Insurance may not be the first industry that comes to mind when you think about Big Data. Insurance companies don’t tend to be on the cutting edge of technological innovations.
Yet the fact is that Big Data is increasingly important for insurance companies, as Hortonworks notes. Insurance providers have always used data to try to predict the likelihood of risks and price products accordingly, but Big Data – combined with real-time analytics – will enable a new generation of insurance offerings that are more accurate, more cost-efficient and better tailored to individual consumers’ needs.
You probably already know that entertainment companies like Netflix and Amazon use Big Data to make recommendations about which types of shows or movies a user might want to see.
However, these companies are now taking Big Data to the next step by using it to predict which types of new shows to develop. Big Data use cases like this are poised to become increasingly important as entertainment companies compete to offer the most compelling types of digital content.
Want to stay ahead of the Big Data curve in 2018? Learn about 5 key Big Data trends in the coming year by checking out our report, 2018 Big Data Trends: Liberate, Integrate & Trust