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IBM Li Yonghui: Watson large data and analysis platform

"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. 2014 China Large data Technology conference ...

So many voices: HP successful acquisition ARUBA;IBM strategic change prospects are optimistic

This issue will discuss two major topics: 1. HP buys wireless networks with $3 billion trillion ARUBA;2.IBM investment is bullish, strategic adjustment for development. So many sound column links: http://voice.zdnet.com.cn/2015/0306/3047517.shtml guests point of view refining: "0:00" Hewlett-Packard to purchase 3 billion U.S. dollars wireless network monopoly Aruba from Aruba to HP's value to analyze, The combination of HP and Aruba is reasonable, HP pays more attention to a ...

"BDTC Interview" IBM Li Yonghui: From artificial intelligence to the end of large data

Ai technology plays an increasingly important role in the field of large data, and it technicians have an increasing interest in IBM Watson. Recently, Li Yonghui, an outstanding engineer at IBM's Ministry of Science and Technology, attended the 2014 China Large Data Technology conference and received an exclusive interview with CSDN Cloud computing, taking Watson as an example to analyze the practice and prospect of the application of AI technology in the industry. Li Yonghui that, through the combination of structured data and unstructured data to generate wisdom is the future direction of large data, the cognitive computing technology represented by Watson is to achieve this goal, its ability to ...

Deep learning yesterday, today and tomorrow

Since 2006, a topic called deep learning in the field of machine learning has begun to receive widespread attention in the academic world. Today it has become a boom in Internet big data and artificial intelligence.

Forbes: IBM to develop mobile market strategy target is to be the boss

The main points of this strategy include building a full channel retail business, creating networking and building machine learning platforms. Broadcast to Tencent Weibo IBM plans how to rule the mobile market Beijing time June 26 news, Forbes magazine's online edition recently published articles on IBM's initiative to dominate the mobile sector. The article points out that IBM is planning to dominate the mobile market through its most comprehensive mobile solution portfolio MobileFirst (mobile first), which includes building ...

Ai Daniel's New Year revelation: The future depends on unsupervised learning, natural language processing

The past spring Festival has allowed programmers to have a rare holiday break, but artificial intelligence in the holiday has been improving, we saw the Facebook AI director Yann LeCun, the Hong Kong University of Science and Technology, Director of the Department of Computer and Engineering Yangqiang and other artificial intelligence Daniel's cool thinking about the upsurge of artificial intelligence, Google has also seen the development of artificial intelligence gaming systems that transcend human levels in specific conditions.   Here's a look at the new Year's inspiration from Daniel's artificial intelligence. Yann LECUN:IBM True North is "the straw race science" ...

New breakthroughs in social data see IBM bringing new value to experience

All along, IBM with advanced IT technology to help the major sporting events, through in-depth and timely data analysis to provide first-class service to promote the rapid development of the entire sports industry. Today, new technologies, represented by data, have quietly changed the world.   No matter from the arena to the business, the individual to the society, the data-represented technology once again embodies the "intelligent" charm. More than 400 million of Chinese fans have made their voices, with more than 1 billion of the World Cup-related discussions. In the face of World Cup social data, IBM and Tencent in June reached a deep strategic cooperation, Tencent Sports social media number ...

Why do some companies prefer to use the R + Hadoop solution in the machine learning business?

Introduction: It is well known that R is unparalleled in solving statistical problems. But R is slow at data speeds up to 2G, creating a solution that runs distributed algorithms in conjunction with Hadoop, but is there a team that uses solutions like python + Hadoop? R Such origins in the statistical computer package and Hadoop combination will not be a problem? The answer from the king of Frank: Because they do not understand the characteristics of R and Hadoop application scenarios, just ...

IBM large data processing and analysis entered the age of cognitive computing

The complexity of large data processing poses many challenges to data acquisition, storage, management and analysis.   How to discover the latent value of the data, how to realize the cognition and judgment of the similar human brain, discover the hidden relation between the data, and make the right decision, which is more important in modern society. Cognitive computing comes with large data processing at the IBM2014 news conference, held on March 6, IBM demonstrated its great strides from large data and analysis to cognitive computing business practices ...

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