Victor Maire Schoenberg, author of the Big Data age

Big Data Era "galloping", Young entrepreneur opportunity geometry? --Victor Maire Schoenberg, author of the Great Data age

Xinhua Shanghai, October 26 (reporter Wang Linlin Xu Xiaoqing) Big Data age, young entrepreneur's opportunity where? What is the bottleneck of big data development? How to solve the problem of enterprise data sharing? How to strengthen user privacy protection and intellectual property protection? In Shanghai, "2014 Pujiang Innovation Forum", the major Data Systems research field of the first "big Data Age: Life, work and thinking of the great change," a book author Victor Maire Schoenberg received an interview with Xinhua news agency reporter.

--Start-up cost reduction

Journalist: In the big Data age, where are the opportunities for young entrepreneurs?

Victor: One of the most notable changes in the big Data age is the threshold for entrepreneurship and a sharp reduction in start-up costs. 100 years ago, entrepreneurship required massive investment in factories; 10-15 years ago, internet start-ups needed to invest in expensive servers. Now it costs tens of thousands of dollars to rent cloud services and bandwidth. Large data age, data capture, data storage technology "cloud" for the vast number of small and medium-sized enterprises and young people's entrepreneurship has brought unlimited possibilities, the size of the company, the size of the server, the scale of funds is no longer regarded as an absolute advantage, the key to the run-off is the use of data analysis skills and

--cars are expected to become "big data source"

Journalist: What is the bottleneck of big data development at present?

Victor: Frankly, the big data development faces different levels of bottlenecks. First of all, at the technical level, most of the data analysis and statistical tools we use today are born in the "small Data Age", and I think they have been difficult to adapt to the technology needs of the big data age, so we should start to develop a variety of tools suitable for handling massive data as soon as possible. Secondly, in the concept level, the general lack of "big data Thinking mode" is still grim. The hidden value of data is far from being well reused. We should continue to strengthen the education of thinking mode and try to think about the world from the perspective of large data experts. For example, in the future, cars will be the source of data, based on this data, can analyze and predict human behavior, car manufacturers can provide better service, so it is not difficult to understand why Google has to develop unmanned cars.

Small companies also have "nuggets" opportunities

Reporter: Large data age, small companies often because of insufficient data to fall into the dilemma of "no rice into cooking", and large companies with massive data are often unwilling to share their own data, on this, how do you think we should resolve the data sharing problems between enterprises?

Victor: Based on market competition and trade secrets, it is understandable that big companies are unwilling to share their data, which, I think, provides a rare opportunity for small and medium-sized companies. For example, a small company can take on the consolidation of industry data as a Third-party company, with the simple condition that small companies promise large companies not to provide their data to its competitors. In this case, not only large companies can enjoy the small companies to provide data analysis and forecasting services, and small companies have their own interests space. For example, Faircast, an American company that predicts airfare for different periods of time, is a successful "nuggets" small business.

"No trust, no big data."

Reporter: In the big Data age, how should we strengthen the user privacy protection and intellectual property protection?

Victor: It's crucial to build trust between users, data collectors and the people who use them. It can be said that without trust there is no big data. In the area of user privacy protection and intellectual property protection, I believe that the Government needs to assume its corresponding functions, including the enactment of data-use regulations, the use of data and the purpose of the situation. At present, the world's existing data protection laws and privacy protection laws are no longer adapt to the status of large data development, we need to study the application of large data legislation. North America and Europe have now started this work, and I was fortunate enough to be one of the 100 research experts.

--The government should inspire "new value"

Reporter: In the process of encouraging enterprises to participate in large data competition, what suggestions do you have for the role play and function of the government?

Victor: Open Data is the primary responsibility for the Government to carry out large data work. It can not only promote the society has the ability to make better decisions, but also stimulate economic development, promote entrepreneurship and entrepreneurship cultivation. I am very appreciative of the Shanghai municipal government's move to open up public data, because it can greatly stimulate the development of large data applications, large data companies and large data economies. In fact, the government departments in the United States, the United Kingdom and some other countries have gradually opened up public information, but the effect is not significant enough. In the future, I think that the government needs to create an economic environment, and constantly inspire enterprises to have enough interest to analyze and dig into the data, not just for profit, but also to create new value and find new problems through the use, analysis and visualization of public data. Finish）