Big Data makes personalization real

Data has 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.

Value and risk, as the two sides of this coin in the big data age, how to perfect the relevant legislation, strengthen the http://www.aliyun.com/zixun/aggregation/32420.html "> Network Information Protection, define the scope of authority is very important."

Follow 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" personalization

Wake up in the morning, drive or brush the card to work in the subway, daytime browsing on the computer 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 has 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.

The reason why the age of large data, not only refers to the large 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. Currently has lent more than 30 billion yuan, the bad debt rate only 0.3% ...

The scientific community and the public opinion have given large data ratings. 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 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 large-scale industrial revolution, the characteristics of automation, 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. ”

Like 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.

Not only can personalized service 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, 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, personalized after all is just 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.