Industrial Transformation with Big Data

By StartUp City | Tuesday, May 28, 2019

BIg Data industrial transformationFREMONT, CA: Nearly 40 percent of the data in the world today depends upon the introduction of machine-to-machine information and sensors, which can affect different global enterprises such as customized medicines and carbon footprint.

Big data analytics has shaken the world of industries. Healthcare is one of the major sectors that can produce massive amounts of data in the future, considering that a single human genome represents around 100 gigabytes of fresh information. The same data can lead to the creation of customized medicine, better treatment, and sound practices.

Healthcare: Big data can restrict unauthorized conduct that leads to around 2.2 trillion expenses in the U.S. every year on healthcare. The use of big data can prevent fraud and improve healthcare facilities by eliminating dangers.

Education: The education system has transformed its traditional ways of teaching to make it compelling and introduced e-classes or video classes that make learning enjoyable with big data. The technology will help the administration to record students’ career strategies and interest individually and focus on their career goals.

Telecom: The telecom industry gets a hold on every tiny detail such as the location of the call and the number of times the calls were made by the user, by using big data. The technology develops the record of call details, marks the location, saves the social media information, and the type of network traffic. The sensory data produced can guide the company to optimize their system.

Banking: Banks use technology to guarantee the security of digital information shared with their users, like salary credited, salary debited, and utility services. They also provide additional facilities like loans, offers, risk management, and insurance.

Consumer Goods: With the help of big data analytics, the consumer goods industry can foresee the cost variations of raw materials in the market. It allows the company to view vital parameters such as weather data and market data, which can be merged to gain a close reading of value, demand, and shortcomings.

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