Big Data Age: Safety first, or efficiency first

Source: Internet
Author: User
Keywords Personality large data large data age
Value and risk, as the two sides of this coin in the big data age, how to perfect the relevant legislation, strengthen the protection of network information and define the scope of jurisdiction is essential.


Sumeng, who started his business in 2009, also led his more than 10 brothers to live in a 80-square-metre apartment, but 3 years later they moved into a landmark building in the heart of Zhongguancun, China's Silicon Valley. Stripped of the subjective factors, this large data technology as the core business of the company is like a microcosm, reflecting the Chinese large data industry from zero to have, from small to large development process.


followed the footsteps of the internet, big data quietly, as the internet impact gradually deepened, large data also began to diffuse its energy. Large data and cloud computing are even hailed as the third peak of the information industry, together with the intelligent production, wireless network revolution is called the three major technological changes leading to future prosperity.


But the big data is like a coin, has its two sides: one side it will give birth to new technology companies, to absorb the employment of scientific and technological personnel, and to provide new opportunities for enterprise development and transformation; On the other side, it brings personal privacy crisis to individuals, enterprises and even countries, reconstructs information security, widens competitiveness gap and disputes data property rights.


technology "illuminate" personalized


in the morning after getting up, driving or brushing a card to take the subway to work, during the day browsing the Web page or the next order, the evening card consumption, if sick to go to the hospital doctor ... This is modern daily life, but these actions will leave traces on modern instruments, and thus produce data.


data have existed for a while, but the emergence of the internet has brought qualitative mutations to the data. Statistics show that the amount of data accumulated over the past two years has exceeded the sum of all previous histories, and the data is growing at a rate of 40% a year, with the amount of information doubling every two years.


is called the age of large data, not only refers to the size of the data, scale is only a prerequisite, but also refers to the data is becoming an asset or means of production. Any industry, any field will produce valuable data, and the statistics, analysis, mining and artificial intelligence will create unexpected value and wealth.


The technology has blossomed in many fields: for example, in agriculture, Silicon Valley has a climate company that forecasts the annual production of farms based on rainfall, temperature, soil conditions and the relative availability of crop yields over the years, and then sells personalized insurance to farmers. In China, Alibaba, based on the trading status of small and medium-sized enterprises in Taobao, screened out financially healthy and trustworthy enterprises, and issued loans without collateral. Has lent more than 30 billion yuan, the bad debt rate is only 0.3% ...


the scientific community and the public opinion have given great data to the high evaluation. The Wall Street Journal has called the Big Data Age and the intelligent production and wireless network Revolution the three major technological changes leading to future prosperity.


if we were to stand on a more optimistic note, the big data could be a new industrial revolution in comparison with the first industrial revolution and the Second Industrial Revolution. Zhou, director of the Internet Science Center at the Institute of Technology, told the China News reporter that because it has the most important factor in every industrial revolution, its new energy is computing, and the material is data, and it also has advanced industrial technology, the smarter mind, how to analyze greater value in these materials.


compared with the previous two Industrial revolution scale, automation characteristics, Zhou that large data has its distinctive features, that is, in the scale and automation under the personalization. "For the first time in history, we have had the opportunity to create a complete description of different types of data from different places around one thing," he said. ”


such as a person, we have his message and call data, with his micro-blogging data, his health care and social security data, his traffic data, check-in data, social relations data, and so on, we can not only develop a deep understanding of this person, but also create a fully personalized service.


can not only personalized services for users, but also for goods, places personalized service. Zhou said that this personalization is not isolated personalization, but with the first, the second Industrial Revolution, the integration of large-scale and automation under the personalization. Large data makes it possible to provide fully tailored services to tens of thousands of people automatically and on a scale.


In addition, Zhou points out that another feature of the large data business model is the outward. We can accumulate a lot of data across the domain through legal means, through the analysis of these data for many industries and enterprises to serve, provide decision-making guidance program, this is the typical data out.


For example, we have more than 100 million users of data, we can give each user dozen more than 500 tags, according to each user has a car, there is no room, there are children and health needs, financial needs, etc. to distinguish his long-term, short-term and immediate interest. Companies in finance, securities, media, education and other industries can determine their own marketing direction and marketing strategy according to these understandings.


21st century is known as the era of personalization, but all this without the support of technology, personalization is only empty talk, only to remove the technical barriers, personalization can truly become a reality. The emergence of large data allows personalization to truly shine into reality.
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