Yi: What is the business relationship between future people and data?

May 23-May 25, 2012 cloud base of China Cloud Computing Conference opened the curtain, show cloud practice, explore cloud trend, share cloud future. The cloud base shows the latest technologies and new products in the field of cloud computing, and explores http://www.aliyun.com/zixun/aggregation/13638.html "> Cloud computing Trends, large data value, The cloud Time Data center's energy conservation and so on has attracted the industry attention the hot topic. "The Future of life, a variety of decisions are inseparable from data and information support, this is a big trend," said Yi, author of the analysis. It is necessary to think about the business relationship between future people and data at the turning point of history.

Yi: Thank you for the general introduction, today we see the book outside. Why write such a book, and the title of this book is a very abrupt title, puff to explain to you, first quoted the former White House committee director Lawrence said a word, I suspect 200 years later, when writing our history, found that we are in the era, the way people think problems have changed a lot , we become more rational in more things, and think on the basis of more data. Large data phenomenon is a hot spot, the cloud computing conference many people also began to pay attention to the phenomenon of large data. If our technology is the birth of the whole large data phenomenon, the future of our life, there are a variety of decisions can not be separated from the data and information support, this is a big trend.

, author of Yi


We are at a turning point in history where we can only move forward and not retreat. So it is necessary to think about the business relationship between future people and data at the turning point of history. Before introducing the contents of this book, I think it is necessary to introduce myself first, introduce my personal experience, may also have some good understanding of this book. I myself previously in China, and the Chinese Academy of Sciences are all computer professional direction, but after graduation, I have been doing, in some large state-owned enterprises Do data analysis, data mining, also did it, also did some business consulting. And if that's the story, one side is the academic sector, one side is specific to some areas of application, it is probably two sides of the world, if the academic side, I have also done it development, we think may be the first thought is how to use some better technology, better some algorithms to optimize some performance indicators, Regardless of data mining performance indicators or system-level performance indicators, if I communicate with business people, they will also say that large data is a good thing, which can get a lot of value. But when they actually use this data, like some of the data-mining projects we're going to do, when we present the results to our customers, they tend not to believe the results we're digging, and they think their business intuition might be more effective than the results of our entire data mining business. So, in fact, the whole background and experience let us think about whether in the background of the whole large data, whether people's intuition is more effective or the data more effective, people and data between the specific relationship.


I have a paragraph to discuss this issue, and also do literature and a variety of tracking research, I found that a new word frequently appeared, domestic generally translated into "analysis", but I think the word meaning is a little too wide, And the background of our times with a large number of data to analyze a large number of data to influence the background of the decision is not so special to coincide. So, in the new translation of a word called "Forensic analysis", evidence of proof, analysis, analysis of data to generate insights to influence decision-making. The definition I give it is to analyze the quantitative evidence and influence the practice of decision making. From this perspective, from the point of view of quantitative evidence influence decision, the whole data should be to improve the quality of decision-making or performance as the goal, if in this way, the whole black cat white cat catches mice is a good cat, should think about the data and the algorithm behind it. I am in the process of collecting and reading the literature, we speak more of the big data, the other direction we talk about relatively little, the direction of the experiment. Experiments abroad now in the entire economic field, there are other social sciences related areas are also introduced, through the strict control of some variables, quantitative study of the relationship between some measures and results, now, the Internet industry to achieve the method of domestic this aspect I think talk about more, abroad, Especially in the social sciences, the government, the medical profession, and The Economist, are more likely to study this piece, and even the government is ahead of the private sector. I see Mexico. It carries out some experimental research, which is a quantitative study of some anti-poverty programs, which is a 197-year project. There is another area called evidence-seeking medicine, the medical field may be used more.


I see this process, I think that if we were to do experiments, to the business staff to do some data mining, some of the results presented, the specific how we may not be clear, the search for evidence medicine just have such a set of the entire production and dissemination of proof, as well as a combination of such a system, may be useful to us. So, the whole, I think this book may be in the case, in the technical aspects of relatively less, in the case of a relatively more, this book I forget, probably almost hundreds of companies in the case. If these cases can inspire you, it may be a cross-sectoral case, which can also help. And Ray always said that this is a professional book, in fact it is not a professional book, the readability of this book is good, if we do not have any science and engineering background of liberal arts students can also read this book, I think the writing is very interesting, I hope that we have time to buy a book, read, thank you.

(Responsible editor: The good of the Legacy)