Big data explosion, which field is the most reliable?

The hottest concept of the current "big Data", as an industry jargon, is flooded with internet newspapers. Obviously, we have stood the turning point of an era, the globalization of the Internet, the popularization of mobile devices, the low cost of cloud computing and the networking of the material world are all saving energy for "data explosion", which is about to turn over to a new chapter in human history.

"Predictions are very difficult, especially for the future," said Niels Bohr, a contemporary Danish physicist. "In an era of rapidly changing science and technology, it is also true that a bold forecast today may be the reality of tomorrow." The forward-looking prediction of the wide application of technology and market trends is a severe test for today's entrepreneurs and executives, and is a matter of success in the next business empire.

Moreover, predicting the future is as interesting as an ancient magical crystal ball, but the application of the data is not as easy as discovering it. Now, let's take a look at the new opportunities and challenges that the big data age will bring to the economy and life, with the perspective of Deven Parekh, general manager of the US internet private equity firm Insight Venture.

Terrorism under large data

Sony Pictures, which caused a stir in the previous period, was attacked by hackers, a blatant state-backed cyber-attack. This article does not discuss what is wrong, but in this case, Sony Pictures of the network system was hacked, employee letters, pay and screenplay and other information leaked, a large number of public internal data caused Sony's high panic.
Now every Fortune magazine's top 2000 companies are thinking: is my company data secure? Where would I be if the data were published? At the same time, security software companies are also working on the development of large data analysis software to help companies better protect data security and avoid future attacks.

The right to civil liberties under large data

Data-driven decision-making tools are not only used in the business world, but are also widely used to select the most suitable schools, physicians and employers. Similarly, companies use large data analysis software to find and hire good employees, or to select targeted customers.

But what if all this is based on the privacy of citizens? Does the content of large data encompass the lifestyle choices, health, and even race, gender, or age of citizens, not intentionally violating civil privacy, just to make a better decision? At present, all schools, Companies and public institutions have enacted regulations that protect privacy, fairness and anti-discrimination, and are backed by the imposition of a government. The inevitable violations of the right to privacy and civil liberties brought about by the large data age are becoming known to the world, and how to protect these rights of citizens and keep up with the ever-changing pace of large data research deserves our deep consideration.
Government data under large data

2015, the Government's data are expected to be more transparent and practical. In general, the public sector is an important source of data for private enterprises, and government data allows more companies to apply large data to products and services for maximum functional utility.

Taking the San Francisco accident Weather Insurance Company, Climate Corporation, for example, it forecasts the weather that may be damaging to agricultural production by analyzing the massive weather data available to the Meteorological Department, and provides farmers with appropriate agricultural insurance to reduce the impact of bad weather on agricultural production. And the U.S. Real Estate Information inquiry website Zillow, through the use of federal and local government analysis data, including satellite photos, tax Chading, economic statistics, to provide housing buyers with comprehensive real estate market dynamics.
Personalized medical care under large data

Even with a big debate over privacy, large numbers are already blurring the line of health care. Whether it is referred to as "precision medical care" or "personalized care", is the use of digital health care systems and wearable equipment, these two trends into one, is quietly innovating the health care industry.

In the near future, doctors will tailor personalized medications and treatments to patients based on their genome, level of activity, and real health. At this point, the response of the average patient to the data source for a given treatment program has become unimportant, as no patient will reject the best treatment, even at the expense of some patients ' privacy.
Medical information technology is a hot field of investment at present, but the clinical decision is mainly depended on physician's clinical guide rather than large data. In the future, large data analysis is likely to break this situation and revolutionize the human health care industry.

Digital learning under Large data

The United States spends as much as $1.2 trillion a year on public basic education and higher education, but students ' performance and performance still fail to meet the expectations of policymakers, while also triggering discussions among educators and schools on the reform of the education system. The advocates of the reform think that the education system should introduce the market-oriented operation mode, emphasize the students ' test, the accountability system and the performance appraisal, but the opponents think that the teaching level should be promoted and the investment in teaching resources should be strengthened.
But there is a common understanding in digital learning, and digital learning in and out of the classroom is an unstoppable trend. From large-scale online curriculum development to adaptive learning technology, are personalized to transfer teaching materials to each student, teaching technology by virtue of large data environment to obtain rapid development. From familiar names to unfamiliar nouns, there are constantly new digital products appear, a change to the content of the traditional mode of network sharing, but fundamentally change the learning time and mode, change the way Teachers guide students progress.

To sum up, from the simple adoption to real development and utilization, large data in five areas will occur profound changes, and how to help economic transformation and life changes, 2015 is undoubtedly a big data explosion year, let us wait and see!

Source:tc