Large and false data (ii)

Can only see the existing products and services to improve and improve the prospects, do not see the industrial innovation value chain reorganization of the huge space. Need to redefine large data, I do not say I am the correct version, but I this is a direction. This is the history of Internet service development, what is called the false big data, one-dimensional data is our existing technology and existing capabilities to see, there is nothing to discuss, a G and a T, a p, a z is one thing, as long as you are willing to put money, but the prospect of value-added is extremely limited, just fine. In terms of personal data, the first Internet service in history, emails, blogs, photos, and behavioral users are the things that surround your users, as though no one has a business model yet.

Well-known it commentator Xie

The commodity of the material world, for example, geographical information, such as natural, like the United States government spent a lot of money to make sensors, can predict the waves of things, these are the nature of the exploration, access to natural data, it should be said so far, the commodity is not to buy goods, one dimension does not matter, such as Hui-cong This kind of thing, it should be said that including the previous section to engage in positioning services, we can not find the north, are positioning to talk about positioning, there is no business model. Only for social data, in our Web1.0 era, such as law, finance, journalism, public service, newspaper, media, this thing produces data on the Internet. Half-half-truths data is two classes of data, the world's two major types of information collection, the Internet tycoon this century, we have explored almost this thing, one dimension can not find money, we try other views, such as personal and human will, now micro-bo Electronic, online games, and even search, are social, individual. For example, search by what is social and personal, you imagine its algorithm to know. It is based on a keyword in a certain kind of web page weight How to come, is based on social integration data to establish a relationship, the establishment of a complex, resulting in business model, the same personal data and social data, the combination of the resulting micro-blog, e-government, online games. The individual is determined and the physical is tied to death. Material world and social data, like the weather forecast, like our previous period of relatively red things networking, map services, I said map service is to Google Map services, these things make the internet to today is a vibrant, quite lethal.

So far this kind of thing is not big data, now doing a good job, so it should say half-truths, its size increased after there are many things and challenges, but it is still within the scope of thinking can be bigger. The real data is three-dimensional data, personal data, social tools, material world data combined. There is this meaning, such as fackbook,fackbook is a person, but he can highly interactive, forming a group, forming a public space, access to media, his application level can be placed in a large number of material world services, people, society, material may contact, mobile terminals are the opportunity, Because mobile terminals and our past desktop terminals on a few differences, the first personalized, the second more a positioning, fixed things do not have positioning, the third screen small, small screen requires you to provide information exquisite Hua, personalized, small places can accommodate it. Then Google Street View data.gov. Large data concept definition: Large data is the basic unit of measurement of TB and at least double the annual growth of the internet dynamic three-dimensional data, which is the personal, social and material world.

Back to the concrete words, in my opinion, access to information is not a difficult point, we now have a myriad of various, patterns of things to get the terminal, including sensors, including Apple and a new thing, Google also out of glasses, so, access to information means, technology is a smooth road, Backstage I personally also think that there is no great challenge, such as cloud computing, database technology, a variety of software and algorithms, I think is the accumulation of the process of improvement. So many terminals on what platform can be wired together, into an orderly format, the formulation of things, the standardization of data, openness and universal, now everyone said that standards are difficult, but the standard used to be really difficult is open and general, how to break through personal privacy, business interests, industry monopoly restrictions, to achieve low cost of data, high efficiency , large-scale aggregation and integration. Companies like telecom and Unicom have to play a significant role in order to have a chance.

How to transform from the existing business model refinement and operation refinement into the business model of innovation, all in the above three areas with innovative ideas and implementation capabilities of companies have investment value, such as the history of Google, Apple, Amazon and Facebook.

Finally, I'd like to cite a few examples that I think are like big data, which I see now, and I think he's a little bit like the big data I've defined. The University of Pennsylvania has announced the use of improved 3D to print out fresh meat, which uses raw materials such as sugar, protein, fat, muscle cells, and so on to print out flesh with a taste and texture similar to that of real meat. This is reported by the British Daily Mail.

Since food can be produced by data, what else can't? The boundaries of large data are enlarged, and the protagonist is not necessarily a network company. Now, but we're using other words, before I came out, there was a Beihang version, laser metal melting precision manufacturing, is the metal powder to hit the aircraft parts, highly complex, 3D printing the word is very vulgar, but now that is the meaning of material change data, data variable material, this is huge internet companies should completely open the border, After the manufacturing cost is reduced, the large-scale promotion still needs to rely on the Internet. Let's say we have a meeting, or there will be a service here, you get your iphone a fish-flavored shredded pork, your home printer will give you a fight, you go home to eat. Will the traditional retailing industry disappear?

The second example of a large data prototype, a start-up enterprise called the Climate Company, is to simulate more than 10,000 times a day for more than 1 million locations in the United States over the next two years. The company then combined the data on root structure and soil porosity with simulation results to provide crop insurance for thousands of farmers. This is a brand new business model, he has a bucket or cut, rough-type commercial insurance personalized, and he used human, social, natural three kinds of data. He needs to take advantage of natural, commercial, personal, public data, he rented the Amazon's public cloud, he himself built a set of 8 million of the expenses, the start-up companies must be a public cloud more accounting, which represents the future direction of large data, including operations, industrial ecology, business model and innovation space, My personal favorite is this, the meat of that thing a little bit sensational, make again like you dare to eat?

In the third example, Professor South of the United States succeeded in using a gantry 3D printer to make a living independent residence within 26 hours, including water and electricity pipelines and basic interior decoration. House strength is 8 times times the traditional way, and construction costs are 60% of the traditional way. Since houses can be built with data, what else can't? We have heard that Airbus 2015 to print out a full-scale aircraft, now Airbus 12% internal parts are printed out, this is already a reality, not the future. Long-distance personalized design, countless reference models, WYSIWYG. You can do personalized service, reduce the construction industry barriers, especially the boss headaches break the trade union monopoly. This is the third example.

I hope that when we discuss the big data, we should not be bound by what we have done, or what the Internet industry or the telecom industry should do. This data may be the next currency, and then down may be materialized goods, money is an abstraction, nothing is not data. Now people work hard, the world is becoming digitized Earth at a higher speed, ancient religion said that all things have spiritual theory. Now we're going to change the name, everything has data.

I know a lot of the attendees on the list are investing, I fan, 2013 is the year of the Big Data era. 2015 years or so big data will have great innovation, 2020 before and after the big success of the company listed. It's over, thank you.

(Responsible editor: Lu Guang)