Big Data How to play, listen to what IBM, Yahoo said

Article: Investment community Yao Bohai

Using data research to subvert the world we perceive, our lives may no longer be dreams. Big data is like an irresistible torrent that permeates every corner of the Internet. This infiltration makes every Internet practitioner feel excited and confused, the big data age means new opportunities arise, and the big data how to find the right business model also let each practitioner confused. Xiao Bian was fortunate enough to take part in the Big Data Summit held by the digital business age and now takes a look at how TMT Giants play big data.

IBM China Development Center General manager Wang:

The technical value of 4 V of large data

Wang that big data is of great value to business, it can be described as a natural resource, but it is inexhaustible natural resources, unlike when oil is dug. The most important of these are four concepts-four V

The first is a lot; the second is diversity. Voice, non-institutional, image and so on; the third one is speed, very fast, now it's coming up, you don't have time to say I'm going to have to record it again, it's always there, and the last one is not a lot of people's attention, accuracy, It's not that every data is fairly accurate, and there's a lot of ambiguity and ambivalence. Four V will also lead to a more critical technical direction: the first is storage-level memory, the second is the flow calculation, because it is very fast, the third is the combination of hard software, and finally an innovative algorithm to carry out large data analysis.

Fang, dean of Intel China Research Institute:

The industrial value brought by large data

Fang that with the depth of the application of large data, there are several directions of industrial value. The first is a small size, such as the current mobile phone in some sense is a communication function, is its IO, it has a display, it has operational functions, a program, the equivalent of a small computer. If the future computer becomes smaller, it can run a variety of operating systems, a variety of modern applications, that the whole shape will form a greater change, followed by continuity or energy sustainability. For example, the future of the mobile computer in the CPU and wireless can continue to work, the third is security, whether it is the Internet or wearable equipment, the future of a variety of things you need to use a lot, so this is the future of the computer industry.

Yahoo Beijing Global Research and Development Center President Zhang:

Native advertisement is the best application of large data

Zhang, the biggest trend brought about by big data is the development of mobile Internet. With the development of mobile Internet, the user's habits are also moving up, Google's maps and Twitter network, two years ago, a mobile user traffic has exceeded the desktop user traffic.

However, the huge number of users and data also poses a challenge to the business model of mobile Internet. Zhang that customized mobile-end services will be the best combination of big data and mobile Internet. He described the current fire in the United States as an example of the original advertisement. The current primary advertising is highly personalized, followed by a high degree of relevance, and the third is a very beautiful interface. So personalization, relevance, beautiful interface, this is the original advertisement. Twitter and Facebook are already on the move, and he believes the future of native advertising will be a "gold mine." He further explained that when advertising is sufficiently relevant and accurate, it becomes content and information. The use of large data can be used to analyze the habits and hobbies of visitors, so as to push better search ads.

Kutton, dean of the Institute of Soft-power innovation:

Four kinds of entrepreneurial direction in the big data age

Kutton that the big data age will bring four kinds of entrepreneurial direction.

The first data operator that will appear, now when we run, all operators will mention, such as network operators, operators of various services. But in the future, under the concept of big data, data operators must be very important, throughout the operation, he will master all the relevant industries, sales, the user's personal information, the depth of information mining to create new business opportunities, in fact, they will constitute a new data monopoly.

The second is a service company that will have a wide variety of data, providing a wide range of professional technologies and tools to become a leader in the vertical industry of data services. In fact, there are a lot of similar companies in all aspects, such as the Big Data analysis company of the cat, for example, the experts of the analysis of large data.

The third is the emergence of companies with large numbers of products and platforms, such as multinational companies and very powerful companies, that will become large data companies based on products such as IBM.

The fourth is based on large data service providers, through the provision of large data in China services, to provide large data search, to help users solve the problem is now unable to provide value-added through large data to carry out the whole enterprise transformation and upgrade.

National double Science and Technology CEO Chi:

Data mining and data analysis should be distinguished from large data

Chi that many people in the industry are not clear about the difference between data mining and data analysis. Many times the industry is just doing data analysis has not been to data mining, data mining and data analysis of what is the difference? Data mining is unknown to the unknown human knowledge.

The machine tells some unrelated people about possible connections by digging. and data analysis is known to us, such as bad weather when traffic may be blocked, I would like to analyze the bad weather when traffic jams, plugging into what kind of situation, this is analyzed, not data mining.

By contrast, data mining has a higher threshold, requiring knowledge and connection from the unknown. Although there is already a data mining based companies, but are not very mature. Future data mining will be an important opportunity in large data applications.