Data Science Model Management

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big  Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. China Mobile Suzhou Research and development ...

This issue focuses on "the choice of Electronic Business logistics mode" Tencent Science and Technology telecommunications business Development, logistics is the key. is the logistics model self built or outsourced to a third party? June 13, by the billion state power network editor-in-chief Jia Pengrei, invited China New Egg Network President Zhou Zhaowu, five hundred city 3C Electrical Network Chairman Shan Bin together micro Bo Chang chat. Guests said that the construction of electrical and commercial logistics and third-party cooperation will continue to coexist for a long time, but the self-built model is difficult to become mainstream. Tencent Science and technology in June opened a full range of micro-blog Online Technology v Forum, each issue invited three industry bosses, on the Internet lakes. Will cover, E-commerce, mobile interconnection ...

Brain science and the Internet at the beginning of this century, with the development of the Internet, new applications and concepts have been born, in which the network of things, cloud computing and large data has been the focus of researchers, and has caused a wide range of research upsurge. Researchers have studied the internet of things, cloud computing and large data in different ways, and achieved many results. But there are still problems to be solved, such as the Internet of things, cloud computing, the relationship between big data and the Web, and how they are differentiated and correlated. At the beginning of this century, the Internet and brain science of cross contrast research, for the analysis of things networking, cloud computing ...

Remember last year 8 15 competition? If you are the CEO of a certain electric company, would you adopt such a competitive strategy? Change is the eternal theme, business management can not be static. In the big data age, it is unwise for the electric trader to adopt price warfare, and to control the management based on the big data strategy will help you to surpass the existing CEO. Cost leading strategy, differentiation strategy and centralization strategy are the three strategies that enterprises can choose in market competition. In the era of information explosion, the fourth competition strategy-large data strategy has become the support of the original three competitive strategies. Big Data change Enterprise decision ...

In recent years, the domestic financial market gradually opened up, financial internationalization trend accelerated, China's financial market competition is unprecedentedly fierce. With the deepening of the informatization process of financial industry, the information system and business system needed by financial data center are increasing, the data center's various equipments are increasing gradually, and the operating cost is also increasing. Data center operators have always tried to take a number of measures to control the cost of the data center, and strive to achieve efficient, low-cost operating model. Therefore, it has become an unavoidable important issue in the process of information construction for the financial system to optimize the management of the infrastructure resources in the data center.

The world-wide information revolution has caused almost every industry to face big data problems. In order to effectively deal with the all-round challenges brought about by large data and make full use of this unprecedented opportunity, the industry, the scientific and technological circles at home and abroad and even governments are actively planning and formulating strategic plans. March 2012, the United States government announced a 200 million dollar "big data Research and development plan", the study of large data to rise to the national will. The European Union has also introduced similar initiatives. In this context, the Chinese Computer Society in October 2012 set up the CCF large data committee of experts, ...

5th, 2013 Large Data technology conference held in Beijing. 　　CCF large Data committee secretary Cheng on behalf of the large Data commission to announce the 2013 large data white paper and 2014 "Big Data hot issues and trends," the official release. 　　Cheng said that the 2013 large data white paper summarized the overall environment of 2013 large data from the background of large data development, the status of technology system, industry chain and environment, talent training talent resources, and in the sixth chapter, the development trend of large data was elaborated. The Committee predicts that the network of large data, financial ...

The development of the society, the prosperity of the market, let the transportation become more and more busy. In the face of tens of thousands of flights, ships and vehicles every day, the face of tens of thousands of passengers, goods, how to make people travel more convenient? How to make the transportation of goods more efficient? These problems are being paid attention to both inside and outside the industry. The emergence of large data technology undoubtedly provides us with an updated and more effective way to solve the above problems. Large data is hailed as the cloud computing, the Internet after the IT industry another important technological changes, using its transport industry accumulated massive data ...

In the internet age, large data is hot, many people must pro data, but can really say that the big data is not much, not to mention how to use large data to dig out the great business value. 　　How do you define large data? What are the characteristics of large data? This paper aims to clarify the concept of large data, illustrate the application of large data and explore the future development of large data. 　　Q1: Is big Data a commercial hype? The industry's definition of large data is 4 "V": Large volume (Volume), multiple species (produced), fast (velocity) ...

Zhejiang Days Search Technology Co., Ltd. (hereinafter referred to as "days of Shares"), a stock exchange in Zhejiang province listed "High-tech" enterprises. Today, its wholly-owned subsidiary Poly Technology Co., Ltd. (hereinafter referred to as "Poly still Technology") but the lawsuit continues. July 10, 2013, Zhejiang Natural Person Shi Xingle v. Zhejiang Poly still science and technology contract dispute case in Hangzhou Jianggan District People's Court jiubao courts hearing. Shi Xingle request that the two sides of the contract is invalid, and to gather still science and technology full refund of the contract price of 220,000 yuan and compensation corresponding interest losses. Under the court, Shi Xingle even said Poly technology as a "fraud gang." Remember ...