Fanghanting: Analysis of development forecast and policy orientation of large data industry

2014 Zhongguancun Large Data day on December 11, 2014 in Zhongguancun, the General Assembly to "aggregate data assets, promote industrial innovation" as the theme, to explore data asset management and transformation, large data depth technology and industry data application innovation and ecological system construction and so on key issues. The Conference also carries on the question of the demand and practice of the departments in charge of the government, the finance, the operators and so on to realize the path of transformation and industry innovation through the management and operation of data assets.

In the afternoon of the government @big Data Forum, science and Technology Fee Supervision Center deputy Director Fanghanting brought "large data industry development forecast and policy orientation analysis." He believes that in the future who has the data, who has the ability to discover data, who will use data, who will be able to win before the competition, and later, not in the competition, the result of competition is determined by the elements before the competition, and the core of this element is data.

Fanghanting: Some people in China were born in the 1960 's, they have lived for 1000 years, 1000 years ago and the state of State in this more than 30 years, in this process, we unconsciously went into the era of large data, research such a topic, study such an industry, for us, is also a new thing. I'm going to do a part of the relative grooming today, is the development trend of large data industry and policy orientation, and these large data itself is not an industry, the big data itself is what thing, in fact, are in the pending, we know more exactly, large data is produced by people, is produced, is the machine, These three aspects are combined to produce data.

We all know that human activity without a machine without a carrier, that is our buzz below, will not become data, the change of things without the expression of the carrier, also can not be data, when the data accumulated to a certain extent will appear a lot of new forms of new business, it is these things high fusion, depth polymerization, Produces a process of explosive growth and a change in complexity. If we measure it in a word, is that large data is actually increased social capital of the whole society, as a social capital everyone is creating it, everyone is enjoying it, everyone is subject to it, but how to upgrade from a social capital to a kind of industrial production, and from the process of development and use, This is actually the biggest problem we face today, and many people have summed up the big data, in fact, there are four characteristics.

The first one is the size of the big, how big to what extent? It's called unimaginable, and we can understand that in 2009, Is 0.8 zb,12 year is to 2.72, according to expect 2020 will reach 35.2, every two years probably can increase by one times, such a process, so that we use the original image of the data can not imagine the way, just as we can not imagine how long time, can not imagine how much space, the future of the long-term human organ will also go to astronomical, in fact, we use ZB method is also is similar to the work plan of the public year.

The second is that the data flow is very fast, the current speed of data flow is nearly as difficult as traditional methods, how we manage data capture data, especially the capture of useful data, the entire internet is like a human brain, it is constantly planning, each of us is giving it blood to provide the spark of thought, So the future of the Internet this human supply brain, will have large data evolution, evolution to a certain level, I believe that everyone to see the internet is fear, are afraid, in fact, I am now very afraid of the Internet, because I want to talk about, you are everyone is naked swim, but you feel that the sea does not ebb.

The third is the content is super Miscellaneous, we can see that in the past when we were managing the data, usually, just like the Minister bin, he gave us a good ppt, good graphics, and now transmits a variety of data, various forms, structured unstructured data abound, these things how to use and to deal with, It's actually very complicated, and we can look at the number of devices networked around the world in 07, 500 million, 0.1 per capita, 2013 of the world's 50 billion, per capita 70, the next step is that the entire wearable device goes to everyone from the ear to the earrings, from the hat to the clothes and so on, how much data do you want to generate every day, a person, etc. such data can be uploaded to the Internet, forming the whole big data, a variety of. In such a messy data system, how to find the data you need or others need, this is the future is also an industry node.

4th, the value density is very low. In the past we wanted to get to know someone very simply by looking at his unit to see his file, when he entered the regiment, when to enter the party, when to mention the dry, now the big data has been recorded, you are the transfer you are remittance, or your friends circle a link to your capital flow, why with these people's capital flow so dense? Of course, that's right now he has a data expansion, if my friend shed infinity, involving 1 billion of the circle of friends, that to find very troublesome, perhaps he a section of the record, you need to find a lot of data to find that the whole process is constantly expanding overseas, but, The density of the universe is basically a homogeneous density, so in the case of large data, the value density is very low, this density is very low, after the people who extract the value of the trouble.

Above I think the big data four characteristics, is super large, super fast, super Miscellaneous, ultra-low, these four aspects, of course, we may also generalize a lot to, anyway big data give us infinite reverie.

In the second part, I'll talk about an initial development trend of the big data industry, because to me, this is also a new topic, not to say how much deep attainments and research, for most of us is also data accumulation to a certain extent, found that the pile of garbage they made can make better compound fertilizer, We did not know that everyone in the toilet every day can create a chemical plant such a role, in fact, large data we are in such a process of manufacturing waste to create wealth, we look at the large data from the research, for super super fast super low four characteristics, In fact, the first thing we need to do is how to propose new technologies and products to solve these four problems, the scale is too large, it is the equivalent of you into a square, you do not know where the needle fell, how to find it, that super fast, your eyes have not blinked the time, the whole image has changed, super Miscellaneous, it is like a kaleidoscope, The density is very low, you want to find to find, you do not want to find, on the blow. In such a case, you need some large data technology and large data products to do.

In this respect, sometimes we in China are always behind the news, the United States published in 2012, "Big Data Research and Development initiative", this thing can be comparable to the United States Information superhighway, at that time, we China just contact the Internet, do not know how the Internet will have a great impact, When the United States had the foresight to do big data research and development, we just feel it, this is the gap between the first-class countries and second-tier countries, first-class countries are always built in the future, second-tier countries always follow the advanced, as we just heard from the minister, according to the PPT to measure China is already the world's largest economy, according to 14 speculation, We are about 200 billion dollars more than the U.S. economy of a level, but we also know that a large body, does not mean that there is power, a person if the fat, fat grew up, then he may be inferior to a lean thin.

So China, in terms of big data, I think the first opportunity for an industry or research and development is in the research and development, which I think there are four deep, in fact, we are in the research and development industry this link should be the opportunity, the first is how to efficiently store large data is a huge amount of storage, Massive storage of our current storage technology, although we have the cloud, although we have other large-scale storage media, but it can be further compressed, further simplification, this aspect gives us some challenges.

The second aspect is efficient refining, and how do you, in a huge pile of data, extract your valid data, or extract the valid data that your users need, the third is to effectively reduce noise, noise is useless interference, these you can not place, the fourth is efficient integration, and finally is the depth of excavation, if it is to do the four deep , I think there is a chance for China to stand in this first echelon.

In the second, we analyze the need for large data, large data requirements from the general, nothing more than three main body, one is a person, one is a business, a government, large data requirements from a personal point of view, each person every day in the manufacture of data, but he does not necessarily know his own in the demand data, in the process , there will be some vendors to provide you with some of the data products, in fact, he is slowly changing your life, your demand is the form of service providers you to do.

The second aspect of

is the need for large data companies, we all know that in the past, when the enterprise decision-making, the outside proposed strategic planning, in fact, the future decision is the data for the king of an era, who has the data, who can be determined before a lot of things, we say can not fortune-telling, but with large data, Fortune-telling really pretty, the government's decision is also on the platform of Big data, large data will lead to government governance, just now we said that the development of publishing houses to the modern state governance, the modern state governance of the original one of the most flawed thing is because of lack of confidence, the lack of sufficient data, can be all aspects of the aspirations of the public to concentrate, So need elite, the elite is close to the sage of a wave of people, sometimes wrong, sometimes right, wrong, they take medicine with him, the right time with him to eat sugar, the future with large data, government decision-making can form a social decision-making, such as any problem can be submitted to the network, can also be the formation of the network of information for in-depth excavation and analysis, such a decision is the whole of real social decision-making, can replace the elite decision-making, if one day, our Chinese government officials do not need elite, we only need to enter a few key words, we need to basically find the things, we release a few keywords , let the social group to make the decision, finally, certainly found to be more effective than the current elite, and more in line with the demands of the public.

To sum up, who has the data, who has the ability to discover data, who will use data, who will be able to win before the competition, and later, not in the competition, the result of competition is determined by the elements before the competition, and the core of this element is the data. We can see the big data, which will derive a lot of things, in the future there will be a large number of data companies, a large number of data providers, because the data will determine everyone, he gradually from a social capital to explore a kind of commercial capital, he became both a competitive resource of enterprises or the government to govern society tools, Or the residents to decide the individual behavior of a tool, the future will produce a huge demand, in the process of massive demand, it will become a deep development of the Internet industry, there are many companies in this sector or other departments have made predictions, only the United States, Global potential for 4.4 million new IT jobs and tens of millions of non-it jobs are determined by big data. At the same time, but also to derive a lot of knowledge of this large data management positions, of course, China has just started, China is a large human resources, is also an intellectual power, China's industry in this area and the demand derived from this may be several times or more Xu. Especially in the era of the Internet Big Data, is a really can play a human advantage of the era, and China happened to be prepared in this regard. By the year 2030, China's highly educated people have reached 27 million, and there are a number of people or most of them who have mastered the tools of large data, and I think the efficiency of every aspect of the future will be improved, I say is a limitless thing.

Finally, to give you a little analysis, from a policy perspective, this business has just sprung up, and recently China's science and technology system is undergoing a major change, that is, the past scattered in more than 40 departments of the Research and development plan, are grouped together to form the five major types of research and development projects, facing the basic cutting-edge of major projects and focus on research and development programs, Innovative guidance programs and talent bases I think in here, if we have some advisory bodies in the industry can propose such a special is to study large data, research and development, the current state of a policy, is called the penetration of research and development, from the foundation to the industrialization, the whole chain, the lack of what to fill, And 2015 is the first year of this system reform, if we can begin to prepare now, I want to use the power of the government, the strength of our business, and the power of other capital, to do such a thing together, so that all the intelligence and research, or the development, People in this business can focus on this, from what I see now, there is no department or any leading companies to propose such a special.

The second aspect is from industrial policy, there should be a plan, and we all think a civil decision may be the most scientific, but we say that when it develops to a certain degree, there is a plan that will make our goals clearer and make our policies closer to reality, In this place, it is possible to consider a plan for China's big data development, or at least a US arrangement.

The third aspect is investment policy, and I particularly hope that if there is such an investment fund to do a large amount of data like ours, including from it using alternate equity funding and channelling funds or other ways together, because there is no investment, everything will become castles in the castle, Large data must also be a first to burn money after the production of an industry, and can not come up after is a fertile ground.

The fourth one from the human resources policy, we should say that in the IT industry we have some preparation, but in this field of human or mathematical talent is still very scarce.

The last Open Country database, this is also a necessary condition, because our country is now a large number of data from the government is actually fragmented, is divided into many secret bins, and these public expenditure and public activities formed by the data if not open, then we study the entire Chinese data, You will feel that something is wrong. Or is not fully expressed, especially in China, as a strong subject, the government's data if it can not come in, then this data he will not obey the distribution.

Finally, to say that we are not sure that the big Data society, what will cause a social subversion, but the subversion caused by the future is enough to let us dumbfounded, as long as there is the ability to excavate technology, the network left enough traces of the behavior can be restored. You can see the recent Alibaba to his last more than 10 years of a sales data to restore, who is to chop hands, who should be encouraged, one clear, if the restoration of a person's behavior is the same, there is a person every day from home to the unit, always twists and turns to go a lot of road, but you finally found, He still wants to go home or to the unit, that in this unit do, there are several scenic spots on the road, or a few loved ones. He is actually walking in such a tortuous road, large data can be fuzzy individual, large data technology can focus on individuals, large data can make information messy, but also can make information miscellaneous without chaos, Big data is terrible, the world is naked swimming, but the sea is still high tide, large data is tempting, who do not want to see themselves and others uncover? This is the big data brings us a lot of reverie also have a lot of fear, I believe that in the age of large data, we are both its creator and its share, and we may also be its victims, thank you.

(editor: Mengyishan)