Qiping: In the big Data age, China may still lag behind the beaten
Source: Internet
Author: User
KeywordsChina big data divide this big data era
With the advent of the large data age, there is a potential for a new data gap between countries because of the differences in the ability to exploit and utilize data. China should be wary of falling behind the big data and pulling back from the developed world. I think we have to face the following four kinds of data divide:
The first is the conceptual data divide. China has always been passively behind the United States in terms of advanced productivity, http://www.aliyun.com/zixun/aggregation/9993.html "> Technological innovation." This is not the first time, from the computer, the Internet, cloud computing ... All the way to the internet of things. Why hasn't China been able to lead a world trend? The fundamental reason is that China has fallen behind an American era in the concept of modernization.
Big data is actually Toffler in the 1980 "third Wave" predicted early, "if IBM's mainframe opened the information revolution of the big screen, then the big data is the third wave of the CLS movement." From the information superhighway to the large data, it is the second modernization marked by the "third Wave". However, China's current level of ideas is still in its first modernisation, with only a second wave of things (such as "Tiegangki", including high-speed rail) producing an epiphany. This is the deep reason why we can't catch up with each other. This problem is not solved at the level of technological innovation. The key to become active is to jump out of the case and form the idea of developing new civilization on the basis of information productivity.
The second is the strategic data divide. The United States attaches great importance to large data, the Obama administration March 29, 2012 released the "Large Data research and development plan" to collect large and complex digital data, and gain knowledge and insights to enhance capacity. China has yet to form its own top-tier ideas on big data and is strategically lagging behind the US.
The strategic value of large data is to gain the control of meaning through the specialization of the data that contains meaning. In the history of the world, mankind in the first wave of the struggle for control of the stomach, rely on the function specialization, realize the survival initiative; The second wave is to control the purse, relying on the specialization of value to realize the development of the initiative; The third Wave is in contention for the control of the brain, by the specialization of data to achieve meaning satisfaction (so-called "satisfaction" ).
From the strategic ecological chain, meaning tube value, value tube function. The United States is clearly thinking of the third wave, the second wave, the first wave of death on the beach. The Chinese are not fully aware of this, and are keen to work on the stomach and the "Tiegangki" of GDP. However, China was the world's largest GDP in 1820, and the result was defeated by the UK, even as China returned to the world's largest GDP, without crossing the strategic data gap, and passively beaten.
The third is the data gap in the industry. Large data sounds very technical, but the key to large data is not in the number of data raw materials, but in the data processing capacity of high, which is the real value of large data. In the coming big data age, if China only uses the eyes of Shanxi coal bosses to see big data and drill into the low-end of the data mining industry, rather than control the data processing industry, it will become the Middle East, Africa, the low-end raw materials and natural resource producers, and miss billions of dollars in high-end development opportunities.
If China falls into a big data frenzy of decapitated, headless flies, gets large storage, large data centers, big industrial parks, such large data industries may just be fattening speculative real estate or drilling tax concessions, still avoid falling into the data gap. To solve this problem, it is necessary to do industrial articles in data processing value-added, not only to "collect large and complex digital data", but also to focus on "gain knowledge and insights to enhance capacity." America's idea is worth learning from.
The last is the data gap of the people's livelihood. From the angle of international competition, the contention for the commanding heights of large data The essence is in the control of the future global network brain ideas, about the meaning of the common people to interpret the right, aimed at the "Military to seek" in the "conspiracy", it is related to a country's people happy unhappy, happy unhappy, satisfied with the right to read, the right to judge.
American experts know that manipulating data to influence people's minds, and using this principle to manipulate elections, to change the flow of opinion among voters by putting questions in the polls or votes, from "Do you think the candidate is really good" and "you think the candidate is really bad"? Once the big data is widely used in social life, the problem will spread from one case to the full. China must pay attention to this problem, and it will not fall into the data gap of the people's livelihood. ▲ (author is secretary-general of Information Research Center of Chinese Academy of Social Sciences)
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