Financial "embrace" Big data challenge and opportunity coexist

"Micro bo friend name, Weibo name length, micro-bo use time, etc., may become your application for small micro-loan credit evaluation risk factors." ”

"By adding some playback capabilities, you can quickly find outliers by time series, discovering trading risks and unusual transactions, and preventing one or two of deals from similar financial tsunamis from turning the market upside down." ”

The above cases are not uncommon, as the "large numbers are in the world". From August 22 to 24th, by the Chinese Academy of Sciences Shenzhen Advanced Technology Research Institute, China Institute of Quantitative Investment, Fudan University School of Management and other units jointly held in Shanghai, "2014 China Big Data International summit", from domestic and foreign research large data experts believe that large data "grafting" financial and other fields of unlimited potential, Future opportunities and challenges coexist.

"Use mobile phone software to measure the amount of exercise per person, daily recording exercise consumption and heartbeat." For insurers, what he sees is that the periodic table of life is no longer a fixed 65-year standard model, but rather a daily exercise, with many changes in the periodic table of life. ”

Reitao, chief executive of Sky Cloud data, said in a recent meeting of the 2014 China International Summit on data.

"Customer health is important to insurance companies. For example, the surveyor ran more than 10,000 steps today, or more than four or five hours of life, can minimize the risk, improve the health insurance company profits. Reitao further explained.

Large data "grafting" financial potential unlimited

This is only a small application of large data in the insurance field.

Since entering the 2014, large data technology has almost penetrated into every industry and business functional area in China, and is being adopted and benefited by more and more financial institutions and enterprises.

In Liu, chairman of the Flag Investment Management Co., Ltd., big data in the investment field early "emerging" and eye-catching. He said that at present they collect all kinds of information from the Internet 24 hours a day, including financial websites, brokerage websites, news reports, reviews, forum posts, blogs, microblogs and so on.

"The collection comes back on our server, making pictures, and has been evolving a set of algorithms from which to extract useful things for investment." Liu revealed that investment based on this is really starting after the Spring Festival this year. The project brought him deep feelings, the future of information on the Internet on how to further excavation, become a very important future research project.

According to a previous study by McKinsey, the financial sector ranked first in the large data value potential index. Banks, securities, insurance, trusts, direct investment, small loans, guarantees, credit and other financial sectors, as well as peer-to-peer, public financing and other emerging internet finance, are using large data to carry out a new revolution.

In this forum, everyone enrichment founding partner, CEO Xu Jianwen said, in the field of loans has actually done Internet. He said that each person has micro-bo, micro-letter, if a user has 5,000 to 10,000 fans, it will be considered a social talent or celebrity, and only 10 or hundreds of fans than users, its credibility, social impact, repayment capacity is generally higher.

Outlook: Multidisciplinary Application challenges

"With the advent of large data, countries around the world to the importance of large data, should be said to be unprecedented." "China Taian Financial Education Group Executive President Chunlei to participate in the forum, said, accompanied by great opportunities, our large data industry is also facing great challenges."

"With the application of large data, personal privacy is also facing unprecedented challenges." "Chunlei also believes that more topics on big data require in-depth research, discussion and communication."

Some people in the industry also have their own views on the privacy issues that have been brought about by the big data being discussed in the industry. Reitao that when big data comes up, privacy is no longer a technical point of view because the basics of reading customer information are machines. He believes that each technological innovation will have a game, in the game into civilization. So from the point of view of technical and technical philosophy two, privacy is just the advance of large data, and will not reduce the practice of technology.

Since entering the 2014, large data has been widely concerned, and has penetrated into the financial, medical, consumption, electricity, manufacturing and almost all industries, and large data of new products, new technologies, new services are constantly emerging.

Speaking to the future of the big data industry, Hua Yunsheng, executive vice president of the Chinese University of Hong Kong, said in a speech to the forum that big Data is an interdisciplinary application that may be used in biology, chemistry, bio-computer science, mathematical models, and so on, and finally how to integrate the data.

As a well-known computer scientist, Hua Yunsheng said, big data in the future development process face a lot of challenges. He said that since large data is an interdisciplinary application, multidisciplinary cooperation is needed. At the same time, access to data also has problems, such as the lack of customer base and lack of data and so on.

"In the Hong Kong region of China, we are also actively studying how to enlarge data." Hua Yunsheng says financial engineering, health records, environmental data, e-learning, and smart cities are all big data they want to study. "But there are also difficulties in Hong Kong because there is not much industry in Hong Kong, so in addition to health records, there is often no way to get the data." ”

As we all know, large data is a new hotspot after the Internet, cloud computing, mobile Internet development, and how to combine big data and cloud computing, and also the discussion hotspot of this forum. Tang Yuanti, professor of computer and information science at the University of Macau, a Fellow of the International Association of Pattern Recognition, said that big data has two sides, big data is wealth, and cloud computing is the "artifact" of exploiting and exploiting wealth.

"The relationship between cloud computing and big data is dynamic and static. Cloud computing emphasizes computing, the concept of moving, the large data is the object of computation, the concept of static. Tang Yuanti said in this forum, so there is no cloud computing, the value of large data can not be extracted, and there is no big data, cloud computing is not "useful."