David Feinleib: Hope to make a version of China's big data cloud.

Beijing, also Zhuang Yun World Congress 2013 on December 12 in the village of Creative Living Plaza. This Cloud World Congress takes "Cloud now" as the theme, revolves "The trend development World cloud" and "The Independent Innovation China Cloud" two main lines. Continuation of the Beijing Silicon Valley dialogue "a tale of twins" tradition, from Silicon Valley's top cloud computing experts, the cloud computing industry's top companies and China's Internet and cloud computing sector leading companies, people, through technology, innovation, investment, trends and other aspects of the collision, interpretation of the nature of cloud computing, trends, innovative At the same time, participants will be 0 distance from China's cloud computing in recent years of development results.

David Feinleib, author of Big Data Cloud, made a keynote speech at the 2013 Cloud World Congress. The following is the full text of David Feinleib's speech:

David Feinleib: Good morning, everybody. I studied a little bit of Chinese, the last time to attend a Harvard conference in October, and then was invited by Mr. Tian, here to introduce a large data, of course, also want to introduce me to this book is called "Large Data Cloud", has been published in China.

I spent a lot of time looking at trends, and it was on Wall Street that everyone was very concerned about the trend of your friends. What do you mean? It means you spend some time in one or four of these areas. Do some research, you might raise some money, you might get a client, you can also attract talent, which is obviously very important for a growing business. I see four big areas, big data, mobile, cloud and social. It's interesting that in the past 5-10 years, these areas have been merging with each other, so we now have big data and cloud computing, and there is a lot of activity going on in these areas.

Here is the big Data cloud, I show you some companies in Silicon Valley enterprises, they are in the large data work. Take a few minutes to tell us about the areas of their activities and the direction of their future development. At the bottom of the slide is the infrastructure, which stores the data and lets you put the data in them. The slides are apps, these companies do things with data, and they analyze the data to help you make better decisions in the data.

The slide came because I had some conversations with more than 100 companies in the area of big data and in Silicon Valley. These people need to have a better understanding of how the relationship is achieved. Many VCs were initially at the infrastructure level, and these companies are also commercializing technology, the Open-source technology of Hadoop, which is more capital efficient when it comes to infrastructure and storage.

The next thing we call a big data application, a company that went public last year, was valued at 7 billion dollars. There are a lot of very valuable companies that can make us better at analyzing big data and doing things, and we'll see more activity in the future.

When I was speaking in China, a lot of people asked me to talk about this, there are no Chinese companies in the large data cloud, I would like to join the Chinese companies, or to do the Chinese large data cloud version. Let me introduce you to some of the parts that have been transformed through big data, including cloud computing, of course. For example, in American traditional retailers, they compete with each other, China has Alibaba, Taobao and so on, they are online retail, through large data they can become more intelligent, so as to sell products to customers when the intelligent.

There is also financial services, which is clearly a place for many capital gatherings. Financial services have a lot of it input into big data, and it allows us to get paid in the form of high-speed trading. How we combine large data and speed to be more competitive and fast to trade is faster than other financial institutions.

While waiting for his phone service to be managed again, the man on the left-hand side of the picture was very anxious, and one company analyzed the service response of nearly 70,000 people. Through the big data 1th they are able to make customers more happy and happy, but also in line with the rapid response to the customer. Speed can be faster whether you respond to a client or a person through a computer. The big American banks analyzed all their recorded phone calls from bank customers, analyzed how to improve their customer service, analyzed all of these support centers or call center audio, obtained structured data, and improved customer service levels.

Online marketing is another interesting part. The example I use is the services we use with Google and so on. They used a lot of big data. There is also a good point is to put all these data together, you can better understand how to carry out advertising, marketing, sales, and how to more targeted choice of your customer base. And the city customer base, a company in the United States to do mobile, including transportation and data work, he put three aspects together, can be transformed to see how to transfer transport.

September I just finished my second we called "Iron Man", triathlon, which is my personal interest. A lot of people like to play golf, I personally like triathlon. When doing this kind of exercise, for ourselves, you can also collect a lot of data from the body to improve your health and make your body more robust. I think this is the same as big data, cloud computing, is a trend of future development, can let people continue to improve health, can let doctors provide remote health monitoring.

There is also an area that is very much in transition, namely education. I got my Emba degree at Stanford, with a paper book, no internet shopping, and now Amazon can do what I want to buy under my shopping habits, and Google can help me with my search. All of these technologies have a corresponding transformation of education, I also feel that in education you can have a lot of mobile technology, so that your learning experience more interactive, become more interesting. You can also put education to more people, the United States has a Newton company, which is a very good example. The company is mainly using these mobile technologies and large data to make education more personal, customized and interactive.

I have a lot to say about cloud computing and big data, and I'd like to spend some time talking about funding and financial innovation in these areas. For example, over the past five years, the infrastructure of large data has been developing. Large data infrastructure that means the storage of our data, how we deal with the data, but there will be many opportunities for innovation, and there are many areas of innovative products in the application of large data. Some companies in the United States, these companies often do a lot of business, is to use these data for analysis, to apply, for the enterprise he can make better decisions. So we can see more business opportunities in the field of large data application, there will be more capital for venture capital. More entrepreneurs are building businesses, such as vertical applications, and innovation in health care, education, and financial services.

Big Data has many opportunities for mergers and acquisitions. Like some of the bigger existing companies, there are opportunities for companies like China. For some large data applications of enterprises, the application of software companies are more interested in the acquisition can be. So we're going to see why there's more and more risky capital investing in companies, in the cloud, in big data, because they think the spirit of enterprise innovation in these areas is very active. Because you can easily develop a product, and the cost of developing a product is relatively low. For investors to invest in the market, they are willing to have some new faces in the market.

Back to the example I just gave, there is an enterprise that achieves 250 billion of the income in 8 years, which shows how fast the growth rate is and how the software enterprise develops. There will be more investment opportunities in the future, and there will be a lot of mergers and acquisitions and a lot of new listed companies.

Finally publicize my book, my book this month Chinese version will also be released. In "Big Data Cloud" This book, will introduce the data how to apply to life and work. Today's audience, if you want to date, want to see how big data to help you fall in love, how to use the algorithm to make you in love more intelligent, more dominant. I think these are the benefits that can be brought about by the development of big data, which can be applied to the development of personal relationships, health care and education. Thank you very much, thank you, Dr. Tian invited me, I would like to listen to the development of large data in China, in the next two days to better development.

Shen: We have two questions to ask, you just introduced the big Data cloud, cloud computing, can be used in health care, finance, infrastructure construction and other fields, you think which areas will have some big enterprises appear, such as the Internet five years ago, we do not know anything, At that time we didn't know that Facebook would be such a big company. In these different areas of the enterprise, you think which type of enterprise will become a giant enterprise.

David Feinleib: You ask a very good question, there is a company, he may not be a new company, but he is now on the start, that is, Amazon. He started from 2 billion, and this year they are proposing cloud services that will continue to innovate over the next few years. So for Amazon they've actually become big companies in cloud computing. Some companies that have just been established, such as collecting data in many cross-border fields, are good at putting data in the cloud. There's a San Francisco company that includes other businesses, and other companies may be aware of some of your online apps, and he monitors the performance of your online apps, and they now raise about 100 billion. For such a business he has the potential to develop in the future, it will be very good to become a large data independent enterprise.

Shen: All of these companies are focused on the U.S. market, but for the consumer sector, most businesses are getting more and more into the local market. For these newly established enterprises or growth-oriented enterprises, how they enter the international market, especially for Chinese enterprises.

David Feinleib: To enter the international market, you first need to have a strong local partner. No matter where you enter the market to find a local partner, understand the local environment, you need to have an existing sales team to help you sell in the local market. For the growth of enterprises, he often has a product, but do not know how to sell products to customers, how to effectively in the market quickly organize the sales network. A company that wants to be able to access the Chinese market in terms of infrastructure, and other companies that want to move in that direction. Of course, the most important thing is to enter the market or to find partners.

(Responsible editor: The good of the Legacy)