Standing at the door of the data kingdom

Moderator: Leaders, ladies and gentlemen, good morning! In order to promote the development of the large data industry of Zhongguancun and the construction of the ecosystem, to promote the cooperative development of Zhongguancun and Silicon Valley in the era of cloud computing, we hold the Zhongguancun Big Data Day today. First of all, let me introduce to you the leaders and guests attending the opening meeting of the Big Data Day in Zhongguancun.

The leaders of the municipal government and relevant departments and units attending this Congress are: the Deputy Secretary-General of the Municipal party committee Huanhua. Haidian District, Deputy Secretary-General and Municipal Science and Technology Commission, Wei Jun, Economic and Technological Development Zone Management Committee, and other relevant departments responsible colleagues.

And Mr Tian, chairman of the broadband capital. Hongshan Capital China Fund and partnership founder Mr. Chen Danpeng, as well as Zhongguancun venture, Zhongguancun Software Park and Beijing Cloud base responsible comrades.

Renowned experts at home and abroad who attended the conference were: Derrick Harris, a leading analyst at the Silicon Valley data, Mr. Zhujianhua, professor of the City University of Hong Kong, Mr Reitao, CEO of Cloud Data Co.

Let us express our warm welcome and heartfelt thanks to all the leaders and guests.

At this opening meeting, there are more than 80 entrepreneurs and representatives of more than 30 news media, and welcome you.

Ladies and gentlemen, the world is ushering in a big data age, and large data has become the most economical strategic resource. The embryonic form of Zhongguancun big data industry chain has already appeared preliminarily, and received the government's high attention. The upcoming development of ZHONGGUANCUN Strategic emerging industry cluster innovation leading project, has proposed will vigorously promote large data-related data mining processing, unstructured data analysis and other technologies and large data technology in finance, government affairs, medical applications, as a key task. We will witness three major events, one is the release of three industrial investment funds, they are the sky to make the fund, the cloud Fusion fund, large data Laboratory incubation fund. The second is the official naming of Zhongguancun Cloud Plaza. The third is the establishment of ZHONGGUANCUN large data Industry alliance.

First of all, please welcome the Tian chairman of the broadband capital to introduce the Zhongguancun large data Industry Alliance and the forthcoming three industrial investment funds. Please Tian Chairman.

Tian: Thank you! From today's perspective, China is getting closer to the world. If we were talking about a while ago, we're still talking about the main theme of Silicon Valley investment this year is big data, and we're not just going to take big data as a day of discussion today December 13, but we have a series of big data actions. One is today named Zhongguancun Big Data Day, which may be the world's first. The second is to take advantage of this opportunity we set up a large data Alliance Zhongguancun, the Alliance is also under the leadership of the Guo Hong director, very fast time to play Chinese characteristics, within two weeks of formation, but also in the continuous improvement process. Thirdly, we should use this opportunity to set up three funds related to large data. Therefore, this morning the use of high efficiency, in less than half an hour of time to do these things.

First, I introduce the Zhongguancun large data Industry alliance. This industry alliance is established by Baidu, Ufida, China Unicom, Lenovo, Beihang University, Peking, Alibaba, Tencent, TCL, Dragon Fu, and now I am the convenor of the first term. The core mission of the alliance is to put different data together, internet company data, operator data, and other kinds of company data. Today we can see that data is becoming the most important strategic asset of the 21st century, just as oil and mines are to the Industrial revolution. We hope that through such alliances the data can be gathered together to exchange ideas and gains from all aspects. There are also some missions to establish an ecosystem and to build industry self-discipline. Through propaganda and education can promote large data, large data alliance settled in Zhongguancun, under the leadership of Zhongguancun CMC.

Second, I would like to introduce you to the sky to make the fund. The sky so that the fund, we three are planned together, time 6 months or so, by the Northern lights of the Harper, Shen Danpeng, these two are the pioneers of venture capital in China, very successful, nurtured nearly hundreds of Chinese High-tech enterprises, there are dozens of listed companies. These few plus the Jinsha River, lung Fuk Property we set up an angel fund. All legal documents have been completed and the initial selection of investment projects has been initiated. A moment please Dan Peng and Harper here to tell you two. The other two funds is the Zhongguancun venture capital development company invested in the establishment of the cloud convergence, the goal of 250 million, mainly in the cloud industry and large data growth funds. The third fund is the incubator fund for large data laboratories, much earlier. Cloud base here to set up a large data laboratory, mainly to take out a part of virtual computing resources, 5000 of servers and part of the data, hoping to invite the most creative young people in the country, their ideas can be hatched in this laboratory, mainly a variety of algorithms. We are supporting them today. The first phase of the 10 million yuan, a little less, but is the incubator such a fund, together to set up.

Before the unveiling, I would like to ask my two partner partners, Harper Danpeng, to tell the fund's partners what they think of the cloud and how it will work in the future.

Harper: Good morning everyone, really not ready, I simply say I to the sky to make some of the Fund's views. Sometimes it is said that clouds are in the mist and are not clear. In fact, there are two opportunities, one opportunity is to put resources outside the company, put to IDC, improve your efficiency, how much money to pay, while enhancing reliability. It's like when the faucet is turned on the electricity bill. The other piece is the big data that is spoken today, which is not in the past. Because of the appearance of the cloud, so that the mobile phone, the internet and so on, where you are every day, what, what time, the data in some way recorded, where. You can share a lot of things through data. Taobao just opened a time back, Taobao began 8 years since what the price of what to buy something, sent to WHO. Think about how time is so great that you can record your life. Each person is focused and can create many opportunities to predict what you need. Financial services and financial services, etc., are needed in many places, and large data is the opportunity to take advantage of the data that exists, especially the mobile Internet, and can create many entrepreneurial opportunities. This will provide new opportunities for many startups today.

The cloud of data, especially mobile, gives small companies the opportunity to grow up. Appeal to the previous talk of various monopolies, information monopolies, resource monopolies, in the future we will also try to prevent data monopoly through the cloud fund, because competition may be the competition for whose data, the data increasingly become barriers. I think Dan Peng, after the future if there is a real data monopoly, this is really a more dangerous thing, our fund may do is this matter. Time is tense, other don't say more, thank everybody!

Dan Peng: In the past few years with Harper, and with the discovery of cloud investment, the sky makes the fund particularly meaningful, because it captures two very important aspects. First of all, in the past more than 10 years in China's venture capital industry, it should be said that information is the most important industry. But some of the major investment opportunities we've seen in this industry have been in some of the world of corporate Internet or wireless internet, and with the advent of a new technology and business model like the cloud, the opportunities we offer today are more of an enterprise-class application. I think this is particularly meaningful for China, and because of such a business model and such a technology, it may be possible to generate a new group of enterprises to provide services to enterprises. Therefore, the fund we are making today is particularly meaningful. I am afraid in the next few years, large data and cloud computing technology companies will become the entire Chinese information technology in the most important investment direction.

Second, we are a cloud to make investment funds, so we are concerned about the early enterprise, this particularly meaningful. China's more than 10 years of entrepreneurial environment is getting better, but the overall focus on the early days, focus on the relatively small amount of funds in the start-up period, especially by technology to build their own product barriers. If we have such funds, in the very early days, when entrepreneurs need the most money, to help them, I believe it will bring great social significance. Thank you!

Tian: I spoke to Professor Zhou two days ago, and I was inspired by a lot of ideas. If historically, the Industrial revolution is a very important time is the chemical, the emergence of the periodic table of chemical elements, people have been refining a variety of plastic, found the drugs such as aspirin, so that human civilization into a step. Today's data is becoming a new era of chemistry, and the future hopes to nurture the discovery of this age of aspirin through our investments, the periodic table of the Mendeleev of the Times. We are in a great time to build the Chinese dream, so we are also very excited to share with you today the big data day may uncover the dream of the future innovation of China's dream of a beginning. Thank you!

Moderator: Thank Tian, thank Shen Danpeng, thank Harper. Just now, three of them, thinkers, share some very good ideas with you. Following the opening ceremony, we welcome Mr. Shen Danpeng of Hongshan Capital, Mr. Harper of the Northern Lights, Mr. Tian of broadband capital, Mr. Wangcai of Zhongguancun Software Park, and Ms. Roman of Beijing Cloud base for three industry funds. Please。

Thank you, we believe that the establishment of three industrial investment funds, will be more stimulating the creation of zhongguancun vitality, and further promote the Zhongguancun cloud computing and large data areas of innovative entrepreneurial activities.

Next, I would like to tell you that when you came to the meeting today, you must have seen a CD of software on the top of the hall. Today's technology development, has made our software services can be realized through the cloud, in order to meet the large data and cloud computing era, Zhongguancun CMC specially with the software Park consultation, the software square named Zhongguancun Cloud Plaza. Hope here we can gather more high-end elements, speed up the big data and cloud computing industry in Zhongguancun leading development. Below please Haidian District Wei Jun, Zhongguancun Development Group Zhang flourishing deputy general manager for Zhongguancun Yun Square Jie. Please。

Below starts the big data industry joint crystal ball. Please Huanhua Deputy Secretary-General, Zhongguancun Management Committee, the municipal Commission of the relevant responsible comrade, the broadband capital of Mr. Tian to jointly launch the Zhongguancun large Data Industry Alliance crystal Ball.

It is believed that zhongguancun large data industry alliance will become an important force for the rapid development of zhongguancun large data industry. Below please Huanhua Deputy Secretary-General for this opening and large data activity day activities to make an important speech, please Huanhua Deputy Secretary-General.

Huanhua: Distinguished guests, Good morning! Very happy to participate in today's zhongguancun Big data day activities. Under the background of the rapid change of the global information industry, it is very meaningful to hold this event, hoping to strengthen international and domestic exchanges and cooperation through this activity, accelerate the attraction of industrial investment, and promote the rapid development of Zhongguancun and even the global data industry. Here, I was commissioned by the Party Committee Standing Committee Chen Comrade, to the Zhongguancun large data day activities Express warm congratulations.

With the massive growth of information society data, the new generation of cloud computing, mobile Internet and IoT are widely used, and large data is rapidly emerging as an important strategic resource for enterprises and society. Large data era has come, the international community at all levels, various fields are constantly strengthening the importance of large data, Silicon Valley and other areas have been the rise of various innovative enterprises, organizations and investment institutions to promote large data in the personal life, the application of various industries. China's large data industry has a foundation, facing a rare opportunity. As the birthplace of the domestic Internet industry and the innovation Highland, Zhongguancun has good development potential in large data field, and is emerging the outstanding enterprise of large data field unceasingly. The large data day of Zhongguancun the event held, for Zhongguancun and Silicon Valley two global data era of innovative gathering of the collaborative development of a good platform for cooperation.

Today, we have witnessed the establishment of zhongguancun large data Industry Alliance, the unveiling of three industrial investment funds and the official naming of Zhongguancun Cloud Plaza. This embodies the enterprise as the main body, market-oriented, research and development of the combination of technological innovation system, for zhongguancun large data industry to create a good innovative entrepreneurial environment. Next, Zhongguancun will continue to strengthen and accelerate the development of large data industry and the establishment of ecological system. On this, on behalf of Comrade Chen three points of hope.

First, we hope that Zhongguancun will strengthen the exchange of technical talents at home and abroad, enhance the horizontal cooperation with international and domestic enterprises, and build an industry ecological circle with sustainable competitiveness.

Second, it is hoped that the Zhongguancun large data industry alliance can gather the upstream and downstream enterprises of the industrial chain, promote the cooperation of industry and research, actively participate in the formulation of international standards, speed up the accumulation of patents, and exert the overall resource advantage of the demonstration area Improve Zhongguancun's industry-leading ability.

Third, it is hoped that the investment institutions will make full use of the Government's support policy for the strategic emerging industries and actively participate in the investment of zhongguancun large data industry, especially the early projects, and jointly promote the enterprises of Zhongguancun to be bigger and stronger.

Finally, I wish zhongguancun large data day activities to a successful conclusion, I wish zhongguancun large data Industry alliance work Well, I wish the industry Investment fund to achieve fruitful results. Thank you!

Moderator: Thanks to the Deputy Secretary-General Huanhua, thank you very much for your leadership's concern and guidance. Zhongguancun Big Data Day opening meeting is coming to an end, the following is Zhongguancun large data day of the forum will officially start. Let us wish all the activities a successful outcome here. This is the end of the opening ceremony.

Here is the Sky Cloud data company CEO Mr. Reitao, Huang Wenliang Dean of China Unicom Research Institute, chairman of the broadband capital Tian to the stage to issue a large data best practice award.

Seeing that we are able to bring such a large cluster and reach 5PB per day daily 30 billion processing, this is impossible to imagine in the traditional architecture of scale. First of all, we put such a large-scale distributed system into the actual production, we feel that the President Huang obtained large data Practice award is well-deserved. Ask Huang to talk about the difference between the system architecture and the traditional architecture, and where innovation manifests itself.

Huang Wenliang: We basically in the processing of internet records and online log flow is 600 to 70 billion per day, now the total storage is 4.5 Pb, one months in trillions of, we retrieve relevant information, basically can be displayed in a second. We are not engaged in large data to solve the problem of production, we began to study the problem of large data in 2010. Simply put, the entire cluster has 300 data nodes, 15 PB storage per month. We are the beneficiaries of distributed computing and the beneficiaries of unstructured databases, as well as the beneficiaries of Open-source software. Because of the large data, China Unicom finally in the mobile internet era, the operator pipeline, what to do, how to do find a solution. Thank you!

Moderator: Please Derrick Harris, just heard China's big data practice, we all know that large data content in the industry circle has been the name, nouns appear, more people are talking about some concepts. In fact, these concepts have been at home, like some large enterprises have a lot of practical basis. At the same time we also see large data is not just it category, is not just some technical progress. Please Derrick Harris,derrick Harris is a Gigaom analyst, Gigaom in North America is very famous for the forefront of the leading technical direction of the neutral organization. Derrick Harris is specialized in large data industry analysis, he has a lot of predictions this year is very accurate, the entire industry's lifeblood to give you a preview. Just a reporter asked what the big data after the family, in addition to search beyond what can do, a while Derrick Harris will share with you more in large data landing companies, what they are doing.

Derrick Harris: I'm not really good at PowerPoint, but there are some more in-depth studies of companies in North America and Big data. Data is ubiquitous, data can be obtained from our application systems, from our social systems, and the government has opened its ports to provide its data to the public. The problem of data management has been solved, and there are many tools to solve the problem of data storage and data analysis. Facebook, for example, has some of his own processing methods. At the same time, some other data processing problems can be solved by NoSQL method.

There are two ways to work with data. One is business intelligence analysis, all suppliers they can do data analysis. From the perspective of application systems and platforms, some vendors provide these platforms for users to use this platform for data analysis and use. Pattern recognition used to be in the lab, and now more because the platform for large data has come to the foreground and has gone to the big data application scene. The image images of LEO satellite can be transmitted in real time, and the real-time analysis with Hadoog architecture can be used in many applications.

Store large geographic databases, track GPS positioning, see how long you stay in restaurants and cafes, and make predictions that give app developers a deeper intention to understand exactly where the application is being used.

Another example is a project from the former CIO of Google who does a project to make credit evaluations. Putting personal debt in North America is to repay the higher interest, IT companies turn to finance, unlike the standard credit card credit assessment, is through the Internet data to test the connection between people. Using the 70,000 variables, the capture of these variables can increase the accuracy of lending to 54% of the bad debt rate.

The company's approach is interesting, he serves video or voice talk. For example, when chatting with a wireless way to do video and language talk, he delivers content. Predict what you're going to talk about, push it in real time, what topics you'll be talking about after 10 seconds, and push the appropriate information to your conversation, which is equivalent to a digital whiteboard in your conversation.

If you took part in the forum we held yesterday at the cloud base, decide is the site that makes recommendations for buying decisions. He uses historical data to analyze and predict, like when you buy a notebook, he tells you to buy it now or two months later. By analyzing historical data and pricing, he can tell you if it's the right time to buy a product. If I tell you to buy it now, two weeks later the product is down 2% He will give you the middle difference.

Many of the early work, the expert machine learning and human-computer interaction of the UI unified packaging in the product line, reducing the flow of data analysis, more user-friendly.

We've learned something from just so many examples. First, the data itself is a resource, but it is not a result. Users want to see the results, not to see the data, do not want to do the work of data analysis. Second, let's make it easier to do this job. Third, how to find a new signal source. Let's look at what's new in the future, three bucks. First, the production of products. Production is sustained until a bad signal is received and the product is not accepted by the user. How to influence production through our data feedback, continuously change the ability of manufacturing and product output. Second, more intelligent devices, these devices interconnected with each other, intelligent sensors, or at any time to wear terminal equipment, they will continue to collect and form intelligence. Third, social media is the most visible area of performance-driven. Like how law and order from the behavior of the discovery of anomalies, through the behavior of the anomaly to find what we need to solve the content of the need to help the object, these are the future that I can see through the data to achieve some of the direction and areas of innovation.

(Responsible editor: The good of the Legacy)