Data mining will change life and business in the big Data age

March 31 Afternoon news, in today's IT leaders Summit "big Data Age" sub-forum, industry experts and science and technology leaders on the future development of large data on the prospects of the discussion, forum guests generally believe that the core of large data is not the volume of data, but how to mining value, Big data will change the traditional personal life and business model.

Arctic light Venture Harper that big data is part of cloud computing; Kingdee Shaochun that big data is not a new concept, but that new technologies such as mobile internet, cloud computing, social networking and so on have brought a new change to big data; the Chen capital of Han Dynasty thinks that large data is a relative concept, the amount of data is only a phenomenon, The core is the value of the data to be mined.

CIC Zhu said that large data can be found in the complex data from the regular things, with colds as an example, if there is enough samples, you can analyze which group of people who are prone to colds. In the past, but today's technology development has the ability to data processing, so can complete such analysis. As for the impact of large data on life, it is a new subject.

Is the big data age the beginning of a big revolution like the industrial age? Chen that large data deficiencies have changed, but there are also great opportunities to add a variety of data together, not just a matter of quantity, will produce a revolution in many industries. This statement was unanimously agreed by most of the participants.

But Deng that the big data age is exciting and scary on the one hand. From the impact of the big data contains a lot of business opportunities, but the rules have changed, including privacy rules have changed, the rule of data attribution has changed, can be said to be a new era, but simply from the point of view of technological progress is not an era.

Kingdee Shaochun also agrees with Harper's view, saying that people who have an interest in investing in large data areas may call the times more appropriate, but for more people, it is clear that the big data age is not enough.

When it comes to the willingness to invest in big data startups, Deng says, big data can produce accurate predictions, and the internet giants, which have mastered the data and are reluctant to share them, have a hard time making money from big data, but he also says he is bullish on the internet of things. Chen also bullish on this investment direction, he believes that the previous data is passive, when large data appear, the data is valuable, there must be opportunities to consider investment.

The following is a transcript of the forum:

Moderator: Now the last forum, the main body is the "Big Data Age", I believe that the term "big data" in the past two years in the industry, soon became the topic of conversation, I was the day before yesterday at the capital airport, the airports bookstore sold are hot books, I saw the airport bookstore sold a large data book, It is gratifying to notice the concept so quickly. On the concept and development of large data, we all have their own understanding, first of all, I would like to ask you to talk about what you understand the big data? The second topic is to ask you to talk about the big data how to use? We will discuss these two aspects. First please Zhang Niankun start. Briefly introduce yourself and share your views on big data.

Zhang Niankun: The bosom enters Peng just like to have a very splendid speech to big data, the concept of big data explains very well. What do I think is the big data? For example, the previously thought of large data may be 10 of the 5-time data, and then developed to 10 of the 8-time data, these concepts are constantly evolving. When everyone uses 1G of data a year, it's considered a big number, what's the biggest big data in the world? Data from high energy physics laboratories, such as a laboratory in Switzerland, whose annual data is 8 500x10 data. Is there any big data in Shenzhen? Shenzhen has a Dayawan nuclear power plant, they have a large high energy physics laboratory.

Deng: I'd like to spend a few minutes talking about it from another angle. I think it would be a bit accessible if I didn't understand this. In fact, the big data is a part of cloud computing, I always think that cloud computing should be divided into two parts, part of the calculation of the equipment is far away from your company, that is, in the data center, may be thousands of kilometers or farther away from you. We used to think that concentrating it, not only save my computing resources, I want to use the time to apply again, this approach is basically a part of cloud computing, its basic concept is to concentrate resources, and then through this to improve your reliability, reduce your costs, this is part of the This part has a lot of virtualization technology, a server can be used as a lot of servers, it is a device to solve a lot of problems, because 20 virtual servers can solve 20 different problems. The big data is exactly the reverse, it's actually a problem for hundreds of servers, but the problem is huge. For example, search, it is a lot of copies to do this problem, it solves the problem of voice is also so, so many machines together to solve this problem, it is facing a huge amount of data, behind the algorithm, there are data, these algorithms are to solve a problem. Its data is constantly generated, and is dispersed, may be generated in the world, real-time superimposed, cumulative, this data requires you to do not necessarily accurate results, but if you are in real time, and you have to constantly improve their own. Search, for example, is based on the results of your past calculations, the next time to improve a little more accurate, this is not only a large number of data, it is also decentralized, real-time, according to your search data results, is also becoming more and more accurate, in a way, this is the problem of large data. Of course, what is the big data? There are many other problems. That's all I'm going to say.

Shaochun: In fact, large data, as the name implies is a huge amount of data, a huge amount of data is not a concept of how to form, long ago There are big data, such as census, there is a large database. Why are we talking about this big data now? New technologies, such as mobile internet, cloud computing, social networking, and so on, have brought a new change to big data. So I think the big data is a new idea, a new way, and a new kind of service. Large data in the enterprise, a large enterprise, it has accumulated over the decades, can have a lot of data, but these data, if well combined with the new situation, can help managers to make decisions, so that staff to improve efficiency. So I think big data should be so understood.

Chen: I think the big data is relative, I remember in 1993, when we do the Internet, in the United States to do the Internet, the most expensive is the memory card, at that time a G to dozens of U.S. dollars, then the amount of data storage more and more large. I think the big data is in the case of information explosion, one is a large quantity, a structural increase. Large number of data after the appearance, I used to deal with the data is OK, now more data, simple processing can not do, it needs more technology to deal with, so this is big data is now encountering challenges. The second is the value of the data to be mined. Now the data is not like before we just do some simple processing, this data has a lot of value, once the value of digging out, business opportunities will increase. Take today's example, for example, Ma Yun (Weibo) They said this morning, why does Ali finance have some pressure on banks? It's not about the policy reasons, because it has big data, it has hundreds of millions of users, he knows what the user bought, what he did in the past, he keeps finding it in his own database, and then he finds it from another database, which is valuable, it can do a financial service, This financial service will cause him to raise very low interest rates on small loans, generate turnover, which will become a very strong company, this is a. Second example, this time we went to Israel to visit a company with Robin Li, the company is online tracking everyone's whereabouts, his view is very simple, good people do not put it on the Internet to eliminate it, what you do is logical, the bad guy after finishing something to erase it, he analyzed the data, In this analysis out, with this theory quickly the bad guys out, this analysis is very accurate, this is the Internet on the large information survey, then the enterprise sold more than 300 million U.S. dollars, this is the big data, there are a lot of business opportunities.

(Responsible editor: The good of the Legacy)