Large Data Age Change force

Internet Weekly, 1th 2013

The big data is the power of the Times to change, because it obtains wisdom by following the meaning.

With the advent of the big data age, more and more people are agreeing to this judgment.

The next thing people are most concerned about is what does big data mean, and what does it change? Only from a technical point of view, the answer is not enough. The big data is only an object, leaving the subject of the person, it is no meaning. We need to put large data in the context of human perspective, understand it as the force of the Times change.

The power to change value

Mr. Wang has a famous saying that the books I read can be cremated. The term translated into large data is equivalent to how large the data is. Now many people define big data, just emphasize big, that means nothing like this: How big is the big data? Too big to bury you all alive.
It is expected that this misconception so the author of the Big Data age, Schoenberg, immediately out of the second book on "The choice of large data", the title is called "Delete" to remind people, before the big data has been buried, hurriedly delete those rubbish.
To this end, I propose a targeted formula: Data + meaning = wisdom. I think that data is only the object, once left the meaning of the subject, it will backfire. Big data is good or bad, judge the standard to see the meaning of whether: meaningful data is intelligent, meaningless data is just rubbish. The
"big" literally of large data can easily evolve into another round of money and enclosure movement. Like cloud computing, the Internet of Things, herd, blind construction. The last thing is to make a lot of money selling equipment. There are so many things in the past. You must learn from this.
Large data values are not worth China's attention, first of all depends on the significance of this matter. Big data is not for a bunch of data to be there, but to make it more meaningful. Because what we do makes more sense, we become wiser. In a word, big data is for great wisdom (601519, share bar).
to be clear, what is the opposite of big data and what is its biggest change object? I think the big data is for people to do what is worthwhile but meaningless, and to change it to make things worthwhile and meaningful. The highest level of change that big data can touch (now not sure if China can touch it) is to shift GDP to happiness.
The biggest thing that contemporary China does is that it is worth more but has less meaning than GDP, but the environment is more polluted and the society is more tense. It's a matter of being rich but unhappy--the rich (valuable) part goes up, but unhappiness (meaning missing) is always hard to solve. Wisdom is not wise, for it means meaningless. The big data is the recognition of meaning, which removes the meaningless parts of GDP-which do not bring satisfaction-such as pollution and corruption-and leaves only valuable and meaningful parts.
Intelligent Earth does not mean that the sand on Earth has become smarter, but rather that the use of large numbers saves only the amount of resources (pollution and waste) that can only increase GDP but make no sense to people, leaving the meaningful parts of GDP to be precisely preserved.
Wisdom Government, not to let the government office building brick wisdom, but that the use of large data, to do practical things in the way for the people to serve, while the people are dissatisfied with the meaning of the signal, through the official blog, such as the fragmentation of channels, to conduct an all-pervasive official and civil interaction. Not 4 years on both sides to breathe once, but 7 (days)Breathe by 24 (hours). This is not the form of political reform but more substantive innovation.
from the point of view of the times, mankind is moving through large data, from an age of subsistence and sustenance to a life of meaning and decision. From the age of the big, into the age of great wisdom. In the Forest of the world, the law of the Jungle competition will enter the era with great wisdom to destroy the big man. A big man on GDP, even if it reaches the 1820-year level of the Qing Dynasty (the world's largest GDP), but without great wisdom, without 20, will lose more than the Qing Dynasty worse. The national competition in the large data age will become a dispute over the control of meaning. No matter whether China enters the big data age or not, if it is wise, all the countries of the world will enter this era. China does not enter, the most is to make China appear more stupid. The future, the United States to the death of China, Japan to die China, there is no other way, only this path. is to let China eat into a big, but the meaning of the right to speak completely in the hands of others, so it seems silly. And China to survival, must grasp the big data this last opportunity, regain the dominant power of meaning, do big have great wisdom. Large data do not buckle This problem is help, buckle this problem is to help.
people who don't know the technology, please understand the big data from the metaphor below. Rodin said, what is sculpture? That is to go on the stone to get rid of the things that do not. What is big data? That is to remove what is not in GDP. If you use Rodin's "thinker" to represent meaningful, such as happiness and happiness, stone represents valuable, such as GDP. Large data is based on the need for meaning, to remove the stone that does not belong to the "thinker", and to eliminate those parts of GDP that are valuable but meaningless. This is "The choice of Big data".
Light around the circle of money to build big data is blind, China to around the big wisdom to build big data. In the next ten years, it is the national happiness that determines whether China has a core sense of wisdom (the "thinker"). One manifests in the people's livelihood, through the big data lets the meaningful matter become clear, see whether we have made more sense in relation to people than ever before, and in ecology, by making meaningful things clear through large numbers, and by seeing whether we have made more sense in our relationship with people than before. In short, let us from the first 10 years of the meaning of the chaotic era, into the next 10 years the meaning of the era of clarity.

The power to change the economy

Large data can no longer be able to do it on your own. The large data is transformed into economic energy, which is related to the solution of the heavyweight problem of the main battlefield of economy. Here are just a few of the trillions of energy effects.
Big data inspires huge increases in domestic demand, triggering huge changes in the industry.
Alibaba has proposed that the use of E-commerce, the way to use the Internet to aggregate consumption, guide and stimulate consumption, so as to stimulate a huge increase in domestic demand, triggering huge changes in the industry. At present, Alibaba is working through the combination of data and C2B, start domestic demand. Dual 11 E-commerce transactions reached 19.1 billion yuan, 2012-year breakthrough 1 trillion. By 2015, Alibaba's turnover will reach 2.5 trillion, to 10 trillion by 2010. This is equivalent to the volume of transactions in 10 large provinces today. Notice, one day 19.1 billion, the whole year is only 7 trillion. This shows that e-commerce in the start of domestic demand, how much potential.
for starting domestic demand, the biggest role of large data and exerting force is to promote the economy from the consumer, to C2B. Nomura's comprehensive research institute, when predicting trends from 2010 to 2014, calls it a "reversal of output", a reversal of the relationship between B (producer) and C (consumer). In Sha, we see that ordinary farmers get orders through E-commerce, immediately from vulnerable groups, into a leader. Producers follow them and organize production according to their orders. This is the new form of activating the economy from the start of domestic demand.
output reversal is intrinsically associated with large data. The data issues involved with C2B are completely different. In the past, the economic process is a producer as the starting point to the consumer as the end of the process. The producer publishes the information, the pair spreads to the consumer more, the data is relatively simple. In the future, when the process is reversed, consumers send information to producers, and producers customize the product based on that information. Because consumers are very decentralized, more than one or more pairs of interactive information, requiring large data to play a role.
in the Blue Rock Liu Cun, E-commerce is not the first kind, and then to find consumers. But the shopkeeper first with the consumer to deal with, from thousands of kinds of packets (including product description and pictures) of the arrangement of combinations, custom good consumer demand, and then to the net goods supermarket, according to the packet delivery. And the net goods supermarket according to the demand information of the packet, to organize the sourcing and production. Not long ago, when I talked about the internet shopping, I heard Liu Wengao said that the Green Rock Liu Cun in the double 11, some people do a day 20 million yuan business, can not help but greatly appreciated. Think this is a new way to start domestic demand.
producers are valuable, and consumers are the meaning of value. Meaningful only value, consumers do not agree, they can not sell, it can not achieve value, only consumers agree, only sell out, to achieve value. Big data helps us identify meaning from the source of the consumer, helping producers realize value. This is the principle of starting domestic demand.

To build smarter urban and rural areas than urban modernization level
Intelligent City Construction is another field of combination of large data and economic main battlefield. The intention of urbanization is to break the dualistic opposition between urban and rural areas and promote the modernization construction. It is not necessary to modernize the countryside to the city.
The United States from the 50 's the beginning, there has been a higher city to the rural modernization process. More than 10 years ago, when I went to Silicon Valley, I saw that the environment was very good and asked the mayor of Silicon Valley how you were "first polluted and then governed". The mayor said that when Silicon Valley started, it did not want to engage in industrialization, from the vineyard Step into the information society, so there is no "first pollution after governance" problem.
In the past, the construction of urbanization, is a high concentration of material resources, energy consumption, high materials, high pollution of the road. Large data makes town construction embark on a new development path of allocating resources in the form of data flow. The Intelligent city emphasizes to allocate the capital flow and logistics with the data stream, from the one-sided emphasis on the city centralization and the direction of the urban and rural integration.
with large data, we can further promote the goal of urbanization, building a higher level than the intelligent city of "intelligent urban and rural areas." Today, many of our rural areas are no less conditional than the beginnings of Silicon Valley, large data through the Internet of Things, smart maps, intelligent transportation, intelligent logistics, intelligent community, intelligent health care, intelligent education and other new ways, so that resources can be dispersed in the rural conditions, can also be like a centralized city to allocate resources efficiently. If the new rural construction, like Silicon Valley, Bangalore to achieve a higher level of modernization, there is no need to take the backward urbanization road again, you can directly build "big Data + green mountains" type of intelligent urban and rural areas.

The

Infrastructure and resource cage
Large data brings new opportunities for infrastructure and resource cage. In the traditional development mode, the infrastructure is stingy (railways, highways, airports), resources are tangible resources. However, once the big data age comes, it is difficult to carry out high level international competition in the way of the birds in the solid cage entity. In other words, Americans put forward the so-called "third industrial revolution" to revive American manufacturing with large data + manufacturing, such as diy+3d printing. Once realized, it is a big shock to China's manufacturing industry. China in the next 10 years also copy the first 10 years of the miser that set, will suffer. So need to cage, cage to change data infrastructure, bird to change data.
Our premise of broadband, cloud computing, Internet of Things, and so on, are only a subset of the intelligent infrastructure. The next 10 years will be a more comprehensive understanding of the smart infrastructure.
First of all, the core of infrastructure is not only the breadth and speed of these surface things, but also the most intelligent. We should attach great importance to the construction of Semantic web. The change brought by Semantic web is neither wide nor fast, but is the foundation of large data analysis, and the core is the grasping ability of complex ecosystem.
the existing Internet can only process information at a simple system level. Once the large data, it requires the data behind the hidden meaning of mining, to achieve from the data to the meaning of the leap.
Second, the information industry, which is built around large data, will form a vast base industry, and will have the same infrastructure for all walks of life. First, the data technology industry, including the hardware of intelligent pipeline, Internet of things, servers, storage, transmission, intelligent mobile devices, software aspects of language, data platform, tools, structure and unstructured database, application software, etc., the services of IDC, cloud computing, Web applications, etc., the second is data collection industry, including positioning, payment , SNS, mail and other industries; data processing industry, including data mining, data analysis, data consulting and other industries; The third is data application.
The future of China's industry from manufacturing to services upgrading, due to large data-driven, the service itself will be upgraded, cage birds will be replaced, from the entity's services to the data services. From artificial namely service, such as rubbing foot service, kneeling type service, turn analysis namely service (AaaS). A broad analysis is a service that encompasses all high value-added creative services based on large data, such as manufacturing-oriented customer service (diy+3d printing), Lifestyle designer services based on consulting data platforms, Business Analytics services based on statistical data mining, creative services based on design platforms, There are design services based on large data, management services, educational services, translation services, and services based on industry or value module segmentation, and so on.

Data business main bring the transformation and upgrade of all walks of life
Another unintended transformative effect of large data will be to make data business the main business of all walks of life, thus changing the industry.
In the middle of the last century, American scholars divided the information economy into the first Information Department (the information Technology industry sector) and the second Information Department (the information department in all walks of life, such as a clearing house). Now, the rise of large data, so that the work of the second information department from all walks of life ancillary business, into the main business of all walks of life.
In at least three traditional industries, the process of change has begun. In the telecommunications industry, the original main business is voice service, data business is only ancillary business. But in the mobile internet, the data business rose to the main business (some accounted for more than 76%), while the voice business became a sideline. In the circulation industry, transactions are the original main business, data analysis for transaction services is sideline. But for Alibaba, the transaction can be free for shopkeepers to do, but the data business has become one of the main business in the future. In the financial sector, the main business in the past was to do financial work, make money by commission, and in the future may liquidate and settle for free, making money from the value-added business of the derivative information of payment information. Wait a minute.
All walks of life the main data business, there are some common laws, and large data intrinsic correlation. They are all accompanied by a shift in business, from Great beauty to small beauty: a shift from a concentrated but increasingly thin enterprise service to a decentralized but high-value end-consumer service. The advantage of large data is in this regard.
The main purpose of data business is to reflect the specialization of meaning. In the past, GDP-oriented economy, in the production of value is professional, but in the sense of the amateur. The data service becomes the main business, which indicates that the form of the business is upgraded from the value shape to the meaning form.

The power of the change organization

The characteristic of the

Large data is the leading value of meaning, which will cause the change of organizational structure.
for organizations, value is embodied in the structure, and meaning is embodied in the structure. The original form of organization is built for value, and its structure is the structure of value. The organization of the future is established for meaning and its structure is the structure of meaning. The value structure of the
organization is very different from the structure of meaning, and the core difference is that the value structure is the mechanical structure and the meaning structure is the ecological structure. The concrete manifestation is: first, the mechanical structure is controlled from top to bottom, and the ecological structure emerges from the bottom; Secondly, the value structure is controlled in a centralized way, and the meaning structure is self-organizing and self coordinated in the way of going to the center.
The semantic web on which large data is built is a bottom-up generative meaning that adapts to the network of dispersed nodes.
with the development of data infrastructure and data resources with semantic Web features, organizational change becomes increasingly inevitable. Large data will drive the network structure to produce unstructured organizational power. The first to reflect this structural characteristics, is a variety of central WEB2.0 applications, such as rss, wiki, blog and so on.
These changes are not easily understood at first. For example, people often don't understand what is going on with fragmentation. In fact, fragmentation is a state of meaning. Meaning is present only when it is in the structure that suits it. It is easy to overlook that this is a force that makes the organization more intelligent. For example, Sina's government Weibo has grown from 20,000 to 60,000 in a year. This fragmentation is conducive to social harmony, is that it has established a sense of the channel, so that officials with the meaning of the people of the Government to establish a pluralistic relationship, so that the official to create a relationship between fish and fish like the endless interaction, so as to obtain more wisdom from the source.
Big Data is the power of the Times to change, because it obtains wisdom by following the meaning.