Great opportunities for innovation and entrepreneurship in large data age

October 18, China Cloud Mobile internet Innovation Grand Prix 2013 (ICOME2013)-"Play Big Data" award ceremony in the Beijing University of Aeronautics and Astronautics Report Hall. In the subsequent "Big Data era to bring innovation and entrepreneurial opportunities" Round Table forum, Tian chairman of the broadband Capital and Beijing Aerospace University president Huaijin Peng, China United Network Communications Co., Ltd. Vice President Zhang Fan, Ufida Co., Ltd. Senior vice President Zheng Yulin, Baidu Large data chief architect Mr. Lin Shi-ding, Reitao, chief executive officer of Cloud Fusion Data Technology (Beijing) Co., Ltd., combined with Grand Prix results and industrial development, discussed the issues of innovation and entrepreneurial opportunities brought about by large data technology and business models.

Moderator: Although the award, the play is still in the back. Today, so many industry leaders and elites. Let's have a thought collision and a sharing of wisdom. Here is Mr. Tian to preside over the Forum of innovation and entrepreneurship. The theme of the Forum is a great opportunity for innovation and entrepreneurship in the big Data age. Welcome Forum Guest: Unicom Zhang Fan Vice president. Ufida Zheng Yulin Vice president. Mr. Baidu Lin Shi-ding. Sky Cloud Big Data Mr. Reitao.

Tian: I'm having dinner with a Canadian company this afternoon, and he's the first N. I said you start a business for so many years, what do you think is the most important? He said Angels are the most important. He said that if the angel met the right, your entrepreneurial success rate is higher than others.

I talked to Zhang Zhang, I think we made a little performance of the main reason for nothing else, that is Shiwubao feeling stronger. Many times it is times that push you forward. Is big data, like the Internet, the most fundamental revolution in technology? In the process of this revolution, we seize the opportunity to start a business, the success rate is relatively high?

Lin Shi-ding: Often talk to the entrepreneur outside. I see a lot of products and channels to do. The next step is to have a technology growth point in the big Data age? First, the whole industry has basically reached that level, we now cloud computing platform has reached a more mature level. Entrepreneurs can easily access infrastructure to build his technology. Second, the development of the whole industry is just as the development of mobile Internet and new equipment. We have a better ability to collect data. We all know what the data is, and the previous data analysis is that you don't have as much data, and you can't get the data you want in real time. But today is a very mature condition. It is possible to do our application on this basis based on the existing equipment and manufacturer's data. With the data and the platform, it's easy to show your ideas and ideas. The idea itself has a lot of work to do. From the most basic data management, processing, data intelligence, data display, there are a lot of things can come. There are a lot of problems to be solved. This is an opportunity for the entire industry.

Zheng Yulin: I always come from the PC era with Tian sum Zhang. We have caught up with two times of industrial change. I personally understand, cloud computing, mobile Internet, big data such an industry change. By contrast, it is a greater opportunity for our Chinese companies and for China's innovative entrepreneurs. I analyze it from several aspects. We came from the PC era. In that era compared with the present time, in the synchronization of technology, standard synchronization. Now China and the United States are not very different. Especially because Kaiyuan technology has become more and more mature, more and more powerful. So many of us have been very much in sync with the technology standards of Beijing and Silicon Valley. And our exchanges, the flow of talent is also very frequent. Second, today in the mobile internet era, we have to innovate entrepreneurship, have a good platform. When we were in the PC, Ufida to do the application software. We are all in the Microsoft, IBM platform to do. Standards, industrial chains, the high-end value chain are controlled in the hands of others. It's different now. Especially in the field of consumer China has a very good platform for innovation and entrepreneurship. Baidu, Tencent, Ali are very good innovation and entrepreneurial platform. Ufida is now also building in the Enterprise field inside the platform. With this platform, enterprises in this field, may be due to the accumulation of industry areas a bit higher. Third, China's market volume is very large. This gives us a great market potential for innovative entrepreneurial success. More than 10 years ago, there was no such big market potential even in the consumer sector. Today, computer mobile devices in the consumer market has been fully popularized. In the enterprise market is the same, the capacity of the enterprise market is also very large. Now we are facing great market space for innovation and entrepreneurship. So today we innovate to start a business is a very rare historic good opportunity.

Tian: Zhang Fan is always my old club, vice president of Unicom. Unicom is also active in innovation, not only the first time the 186 iphone introduced to China, but also investment, Cloud Alliance participants. Next we listen to Zhang always talk about how Unicom is doing cloud computing, large data.

Zhang Fan: This is a very good time for cloud computing and Big Data innovation, and I am very supportive of that point first.

First, the data source, now all walks of life to the information attention and use, so we are now the data source is everywhere, where can be found. Even play a huge role.

Second, technology. We used to from minicomputer, to now have cloud computing, with the technology of cloud computing, there is a prerequisite for large data.

Third, the market. There used to be a concept on the operator side: Business Intelligence. In fact, the data mining of large data. By now, our past business intelligence is just for some phone users, that is, phone calls, phone records. Knowing his words, his words, and his direction. Nothing else. But now we are more used to the big data on the internet behavior of people, his whereabouts, his geographical location. All the factors are combined to form the needs of the network. As long as we look at business and application-oriented perspective, I think the big data has a broad future.

Moderator: Reitao is a new start-up company, do you think you catch up with the good times?

Reitao: I should be the least suitable for this problem. Although I was sitting on the stage and was an entrepreneur, I just stepped out of the way. Why do you feel the big data this wave, like Lei said, the wind comes to the pig will be blown up. Several structural views are consistent. First, we have very good resources. This resource shares a lot of behavioral data from the ability of the Chinese people. From our networking of things. Now many government data are not available to other North American companies. In the case of such a large data gold mine, we have every reason to have the next Facebook, Google. When they support their ERP and data systems, the data are supported as by-products. The second category, human behavior, must have a high tech data technology to record his behavior. The way our information is hosted and received is fundamentally changed. Now I can not be able to in two seconds to the millions of data to be back to the summary, processing. Let information be refactored into understanding. You can have direct access to these data mines. The new data of the enterprise, the wrist strap calculation, each is the entrepreneur can actually perceive the environment. In the next five years in China will certainly be born very great company. At the same time, the most crucial foundation is that there is no shortage of basic education in China. Today our Grand Prix is a proposition that challenges a pretty high. So many teams, even to achieve a 98% accuracy rate. This shows that we are in the basic field, basic science, mathematics is a very basic popularization. A company as big as North America, with his 300 RP team in China, is a student of Fudan and Tongji who have grown to contribute to the United States. The output value of 20% companies in North America serves 81% of the world's information consumption. Will our Chinese team in the future turn to North America to serve the global information market with better models and better teams, based on our own data mining?

Tian: We're excited about this goal. If the data mine has recently become a very fashionable noun. I've been looking at some data books recently. Let's take a look at the earliest people in history the greatest man is the most mine found iron, from iron smelting into steel. Most recently, Siemens Schneider, the first time they invented the method of steelmaking. Some people say that the data is more like the time of the chemical era, the chemical age, Mendeleev appeared in the periodic table of chemical elements, Madame Curie found a very important chemical elements. There are also various elements of aspirin that enable the quality of human life to improve the product.

If the data is the mineral of this age, is the chemical discovery of this age, we need at this time what kind of creativity, imagination, can at this time have the important business model discovery. Significant new discoveries of knowledge. Major scientific discoveries. or our data, although we feel very large, but in the history of the long flow process is only a small part.

Zhang Fan: Big data in front of us, how to innovate, create, invent. This is indeed a subject worth studying. Just now, some colleagues have talked about their views and have talked a lot about technology. From my point of view, I am more market-oriented, application-oriented, customer-facing needs. So I think the development of large data must rely on the market to use. Technology is necessary, but it must also be market driven. Only the market is driven. There is the possibility of sustainable development. So that each of us entrepreneurs have cash flow. In this respect, the market drive, and every one of us who want to innovate attention and the discovery of user needs, I think it is our future university application a very important aspect. So we are talking about my personal views in this direction. Thank you.

Zheng Yulin: We've been thinking about how to combine big data to change ourselves, we're a software company, and we're doing corporate software to change our startups. We found a very important. I also agree with Mr. Carey's shared view that the data are assets. Ufida company to do enterprise software, from the financial software to do ERP software, did 25 years. There are almost 2 million companies in my client. But now we look back, what is the core project of our company? In addition to software, technology and talent. We find that an important asset is the customer's data. In the past, our business model was to put every piece of software in the company's customers to run, we provide some support and services. How do we change in this big data age? We were thinking, and we were starting to realize it two years ago. We have to transition to a platform. We have to build a platform, so that a lot of business, management process in my platform. In this way, a lot of business data, enterprises many business behavior data on my platform. In the mobile internet era, we each individual more real-time. You can always find someone else and others can find you. But our businesses are not so real-time in the mobile internet age. We do business. We should use large data, using data to change our own business model, to better serve the enterprise. If we do this, we are the same as other industries. For example, the financial industry, the telecommunications industry, the manufacturing industry, the success of any industry, he should also be the data as a very important asset to change his business model. This is what we've been thinking about and doing.

Lin Shi-ding: I'm a technician, and I'll talk about it from a technical standpoint. People often ask me what is the difference between big data. We used to do data mining, why do we say that the concept of decades, now become a new concept out? Second, we need to see what is called Big data. It was very large and diverse, and it was changing dynamically. At this time its value density is relatively low. The real big data is a large variety of data, this diversity must be from different sources, especially the Internet is open to the data and enterprise internal data, and it is constantly changing. You need to dig out valuable things from a lot of worthless stuff in a very short time. This is really big data. Not just the data itself, instead, the attributes of the data change, it's large, it comes from multiple sources, it is constantly changing, and its value density is very low, so need to use a lot of data in the short term to dispose of it, to get what you want. This is a really different place for big data. We're going to do that. It has a lot of effective support factors that have changed. The first change, before we do a data processing, I need to set a lot of rules for each field of data to do. But with the advent of the new algorithm, we have a more universal algorithm, this algorithm is unrelated to the other. I can count it out as long as I have more than one quantity around. That means we need to have more computing power. It is a relatively small number of people rules.

We need to support such large data mining process, we must have a stronger platform. This platform is actually the system. How to manage a lot of data, there are storage problems, as well as data management problems. In the management you do real-time data mining, need to support large-scale computation. These are the problems that traditional computing cannot solve, and this is a huge innovation opportunity.

There are a lot of technology, there are many problems, can be reconstructed through this software. I want to do a lot of data processing in real time, it must be no way alone through the algorithm, software system changes to achieve, must pass the new hardware promotions changes can be achieved. We now see these applications to support new large data, we must have an updated algorithm. These newer algorithms are not related to the problem. But it requires more computational power, stronger data discovery and mining capabilities. This difference between the domestic and foreign countries is very small, because this is a new issue. We also have the support of the business model, we have the opportunity to make better technology, better products.

Reitao: The answer to the field has just put forward the driving force exactly where. In the face of such a chemical reaction, we really capture the core of the three drives. I borrowed the Pappy model, which has three latitude, a, economics, and depth semester algorithms. The same set of algorithms, semantic computing can be converted to video computing. Why does data produce value and how does this value trade? Many of these business models are created in the PM level. New resources do not necessarily have to be like oil for billions of years of precipitation. Perhaps this business model did not have this resource before it was founded. After the establishment of the business model, the resource came out. It comes along with the advent of your business model. When we explored the new business model, the internet age I was talking about how many million users I had online. Now we have to reconsider the user level. Because the proposition has become a pseudo proposition. When considering a new successful enterprise, the number of users is not necessarily the most important, but how he sticks to the user. This is the target of our attention in the next era.

Tian: We were trying to do two things when we were doing cloud alliance. One thing is communication between different businesses. So the few companies we're sitting in may not be communicating much in the past. Carriers or IT companies, internet companies, or product companies. But now these companies are hard to separate. Now we connect the Internet, the operators, the investors. The greatest innovation in the future may be in the brains of today's more than 20-year-old people. Because innovation requires breaking boundaries, innovation requires imagination. Lose some baggage. This is the Cloud Computing Alliance competition two very important mission. The mission can do it requires our joint efforts. I would also like to take this opportunity to listen to your opinions. What do you think of this thing? In such a big technological change section, each of us stands in our own business perspective, the operator has been more than 100 years. The software industry is about 30 years old. Start with Microsoft. Internet companies 15, 20 years or so. Reitao's company for two years. What do you think of each other? What do you think of young people now? Is this a big game? Beihang University or other school students, there is no possibility of becoming the brain of this era, to become the age of Edison, Madame Curie. History has influenced the creation of technology and business models of our human processes.

Lin Shi-ding: Your question is very good. Zhang said.

Zhang Fan: I'll talk about it from the operator's point of view. Because the operator has a history of nearly hundred years, but do now the operator to do more and more difficult. Because of the advent of the Internet. After the advent of the Internet, many businesses have turned to the OTT model. A big problem for the operation is that the future trend of pipeline is a huge pressure on operators and a big challenge.

At the same time, we also see that there are many opportunities for the market operators to catch. For example, cloud computing, a wide range of data use, including it, ICT. But carriers are more difficult under the Chinese system. The potential pattern has constrained his many developments. So now the operators are trying to get out of the current predicament. On the one hand can pass the way of the capital. Through the change of capital to carry out effective combination, complementary advantages may be the future operators in this field can broaden some of the road of effective methods. This is based on the traditional model does not make a big change in the case. Second, operators to break the traditional model, with an open mind to cooperate. We may also have some new changes in this area. In the big data age, in fact, operators in the heart is also very worried. The pressure on us is also very great. Just how to think in this era of large data we can still maintain a certain advantage, because we now have the data in the hands of the industry compared to the most abundant. Operators now data, collected everyone's Internet data, you just go through my gateway, your data are left. How do we make it good, this is a gold mine. How to use this data well, how to open this data. This question needs to be studied further.

Secondly, how can the young people in this room be able to go for this, young people have a lot of opportunities, in this respect, first of all, young people have a keen ability to observe. Because now many successful cases are in the minds of young people to create new ideas and ideas. If this new idea and idea can be viewed in a systematic way, from the point of view of the industrial chain, use the industrial chain thinking to judge your thinking. It might be a little bit closer to you.

Zheng Yulin: The software industry is now in the midst of a major change. Two of new worlds and the old world are shifting violently. The rules of the Old World soon withdrew. Many of the rules of the new world are becoming more competitive. I understand that their development trend is three directions: first, platform. Second, move. Third, the operation of the. Like the operation of telecommunications. Divided into the consumer market and the enterprise market, the new and Old world transformation cycle, now the progress is not the same. In the field of consumption, the new world's separatist regime has been basically formed. Now we can not personally buy a package, security software, anti-virus software, game software. Including Office software, all free. And it's all in the service way on the platform. Several major manufacturers, Apple, GOOGLE, Facebook, several mainstream manufacturers have formed a basic pattern. There are, of course, some opportunities. 2 B of the enterprise sector, the entire industry has not formed a pattern, which in the world, in China there are huge opportunities. Why is the market backward in the Enterprise field? I have also been analyzing, from the birth of computer technology, technical or business model innovation, first of all from the Enterprise field. But in the mobile internet era, the latest technologies, the latest business models, and the largest companies are in the consumer sector. The enterprise market is now behind. I feel the main reason is two: first, the enterprise market, especially the small and medium-sized entrepreneurs he entered a relatively high threshold. It has a lot of knowledge in the field of industry. Second, because the enterprise market is in front of it application, its ambition is very heavy, so the consumer market is up, but the enterprise market opportunity is bigger. Also, I would like to talk to all the college entrepreneurs about my suggestion: The New World pattern is basically vertically integrated. Unlike in the old World, it is a horizontal division of labor. In each area there are several companies, do the database has three, do ERP the world has dozens of. After vertical integration, globally, or at least in China, he may be one in an industry or an area. Where are the opportunities for entrepreneurs? From my suggestion, the general ambition of the field just now is very good. I'm not quite the same as the general state of the field. Everyone to achieve Albert Einstein, Madame Curie, great entrepreneurs. My idea is that the future of entrepreneurial innovation greater opportunities in an industrial ecology, in the surrounding a platform of the crowdsourcing market opportunities are too large. The shape of the future industry is a platform for vertical integration. A large number of crowdsourcing. In fact, we have more opportunities for innovative entrepreneurship, even greater. That's my opinion.

Lin Shi-ding: In my opinion, the most important point of Internet thinking is to analyze users and change them quickly. can do that. Because of the characteristics of Internet products, first, its users are in use. And each product has a large number of users. Because we are all provided in the way of service. We have a way to record every user's operation. And because there are a lot of users. So I can also group users. Try some ideas in the small denominator, if the effect is good, then use in the large denominator. This can continue to iterate, to meet the needs of users. To be able to do such a thing in here. He needs a few conditions. First, he can touch the user. Second, the user volume is very large. Third, there are ways to record the user's every operation. In this way, you can then data analysis to drive the above product upgrades and business development. In the past, we have seen that this approach is largely impractical in addition to the Internet. The most important point is that he has no way to quickly classify users. He also has no way to record every user's behavior. Today we found the situation different. Because of the internet of things, the emergence of new sensors, and the development of mobile, more and more traditional areas can do such things. Most traditional areas are exposed to users. So he's probably doing the same thing as the Internet. As long as he can record these data, continuous analysis, continuous improvement. In this set of thinking, he can be used in many places. There will be a new business model, there will be a new inventor Albert Einstein. Again, we're going to support a lot of data analysis. If the government needs to put the whole society's data together to provide better public services. This piece of system requirements are very strong. There will be a lot of new topics coming out.

Reitao: Our company only two years, two years to talk about a big data industry is impossible to answer the question. Let's talk about our feelings for two years. Early big Data We're more of a tool. The same thing happened in North America, who can make big data? First you have to have the tools, you have to service the tools to the business enterprise. First there will be tools to do the service provider. Where can large data be deduced? It is completely opposite to the story of the Internet. The internet is to rob the platform, grab the entrance. Large data is very fragmented. Every enterprise has its traces of data. Software-type enterprises, the future of the mainstream software companies will not be operating in bateoffice to support, it must be off office. So many financial enterprises say, I also want to enter the electricity business, also want to leave the data. In fact, he has a lot of pose data in his pocket, many of the first-line staff and customers to communicate the data are sleeping. No matter in which industry, not that I leave the internet can not do big data. Even if you enter the traditional manufacturing industry, there are also big data items. There are many real-time sensors at random on a production line. The ability to collect and process data from these real-time sensors replaces the best practices of front-line workers. Many practical projects that we can see in actual production. I emphasize the point that, after the arrival of the large data, more emphasis is placed on cross-border and blending. If students in the study stage, the more emphasis is the academic cross. Berkeley has any subject, finance, statistics. It's not the big data that only circles you.

Lin Shi-ding: A factory that produces a mining vehicle. He will keep track of how long it starts and when it starts and where it is. He collects the data, and through this he can probably know where the main mines are now and what they are doing. When I can give him this service, I can open a few more machines for them. You have to use data to drive them.

Tian: Unicom, state-owned enterprises, listed companies, now employs 300,000 people. Ufida, nearly 20 years of company, very beautiful Ufida garden, ERP China boss. Baidu, do not introduce. Reitao this company less than 20 people in two years. If you want to choose to work after graduation, or to start a business, think of Unicom to lift your hand. The hand of the Ufida. None. Baidu, lift your hand. Five。 Reitao hands. Two. What's the other one? Want to start a business lift hands. Most people in this survey are unresponsive. or our students ' participation in cloud computing is not yet adapted to the current environment. Second, have not thought about what to do. Do you have any questions for everybody here today? The second year of the competition. Why do we spend the time to go to college to do this contest, or do we hope that when the tide comes, China's young people, students in school can actively participate in innovative entrepreneurship. Because only you can create the best ideas, the most breakthrough technology, the best business model. Perhaps we are too naïve to think so. Maybe the time is too early. But whatever it is, we have to go on. From last year to this year our judges have a feeling that innovation is not enough. A factor in our organizational work is limited after all, just for the second year. Second, maybe our education system, a variety of factors. But no matter what, somebody has to do it. I hope we do such a pioneering competition. We engage in such a forum, Cloud Alliance. To take time to do this is to have a very big expectation. In the next 10 years, 20 years, in the cloud computing, large data has a huge space for innovation. Here, there are unprecedented opportunities in scientific innovation, business model innovation, and technological innovation. This opportunity for innovation is expected among young people. But this process also requires us to interact and seize this opportunity together. We must have the dream, must have the pursue, must meet this time the arrival.

(Responsible editor: The good of the Legacy)