Data uselessness in the internet age

Source: Internet
Author: User
Keywords Cloud computing Big Data

  

At the recent Baidu Alliance summit, Robin Li, chairman of Baidu's board of directors, will talk about his thoughts on the future trends of the Internet. Li said that this thought is the next 3-5 years of events, did not expect to speak less than a year, was accepted by many people. "Traditional companies come in the big data age and think big data is valuable, but many of the data we see every day is basically worthless data." ”

Mr. Li said that companies like Baidu, which are good at technology, know that technology is something they can do, but the data is useless. The data you want is not collected, and what you have collected is worthless. In the case of pro data, Li put forward a second direction: New data, a new type of continuous, efficient data produced based on large data.

Large data (Bigdata) refers to the size of the data involved in a large scale to not through the current mainstream software tools, within a reasonable time to achieve capture, management, processing, and collation to help the business decision-making more positive purpose information. Large data has 4 V features: Volume (Large), velocity (high Speed), produced (diverse), value (values).

The value of large data is to obtain the maximum data value through data sharing and cross multiplexing. Future Big data will be like infrastructure, with data providers, regulators, regulators, and data interleaving to turn big data into a big industry. According to statistics, the market size of large data is around 5.1 billion U.S. dollars, and by 2017, this data is expected to rise to 53 billion U.S. dollars.

According to IDC forecasts, by 2020, the world will have a total of 35ZB of data, while McKinsey predicts that the future of large data products in the three major industries will generate 700 billion of dollars in the potential market, the future of China's large data products, the potential market size is expected to reach 1.57 trillion yuan, to the IT industry opened a new golden age.

Data-processing technology and equipment providers, IT systems consulting and ERP/CRM/BI transformation service providers, intelligent and human-computer interaction applications, and information security providers will be greatly needed, and the corresponding companies will be given the opportunity.

Large data, whose impact, in addition to economic aspects, it can also be in the political, cultural and other aspects of far-reaching impact, large data can help people to open the "number" management model, but also our current "Big society" of the concentrated embodiment of three points of technology, seven points of data, get the world of data.

March 22, 2012, the Obama administration announced the investment of 200 million dollars to pull large data-related industries, the "Big Data Strategy" to the national strategy. The Obama administration even defined big data as "the new oil of the future".

The evaluation standard formed by the combination of capitalization and industrialization, gradually formed the specific technology, content and service itself to weaken the professional, and to be located in the marketing of the popularization of the process, in this process, professional to be located in practical, industrial services to the capital, even if the dross, by the market after the pursuit will be the pursuit of capital, Even rubbish can be widely accepted in the market under the packaging of capital.

The combination of capital and market is the subversion of traditional values, even the leisure, games, public opinion, are in the grass-roots change, only need to have a prerequisite "to get investors expect financial returns," even if the human soul has toxic content, functions and goods, platform, will be a strong support of capital.

In the capital market, investors are concerned not with the value of technology and content itself, but make money. There is a mass of people who have a way of recognizing that value, which can be manifested through surveys and data analysis, and education and policy are gradually being kidnapped by the will of the capital.

Domestic network advertising is moving from the traditional group-oriented marketing to personalized marketing, from the flow of purchase to the crowd to buy. Although the market environment is bad, but the company with data mining ability is much favored by the capital. It and Internet companies and the transformation of traditional industries, more in the platform to build, data model reconstruction, as well as from market data to financial data changes.

The amount of data on the Internet of Things is greater, plus the mobile Web can collect user information more accurately and faster, such as location, likes and dislikes, family status, life information and so on. Those data are sold in private for many times, while customers ' personalized needs are respected while their privacy has been violated and more plagued by junk information.

With the development of various portable devices, Internet and cloud storage technologies, all traces of human beings and objects can be recorded. The core network node in mobile Internet is human, no longer a Web page. How to excavate the data under the big Bang is also facing the dual challenge of technology and commerce.

Data and information have become a daily chore and a waste of life, not only is it useless, but it hinders us from rational analysis, and if the right data and logical thinking can keep us as calm and accurate as possible when making decisions, then the chaos of logic, the provision of malicious information, and the wrong data is a miscarriage of judgment.

The more advanced the information age, the more we need to look critically at the data around us. Use subtraction and even division to pick and choose the data, avoid your precious time being invaded by confusing data, mislead by "malicious" data, and even support yourself in making wrong decisions. So we really need to rethink the concept of big data, cloud computing and the hot stuff in Internet technology.

Rationally, large data in the absence of collation of the premise, can only be garbage, and the real value of the platform is not to provide messy data, but to the scientific subdivision of the data, the garbage into resources. It is more important to respect the valuable time and energy of valuable members and to protect all aspects of the rights of valuable members. There is even a need to provide targeted system services.

From the classification of the human to the value standard, from the basic connections to the value contribution network, from regulatory discipline to advocacy, the platform's regulators and operators need to be clear. The mechanism of the independent docking platform of supply and demand is very important, gradually sell their valuable data to a certain kind of people, a group of people, some people, in the focus of the simultaneous realization of the value of Ascension.

People in the acceptance of data when there is a choice, people in the output of the data also has the right to choose, this subtraction way, will enhance the exchange of the data of gold. And the gold content is with the practicality, the timeliness, the uniqueness and so on the characteristic decides. This requires the corresponding standard setting and standard management mechanism.

Jia Chunbao that the data is useless, with the relevant data to use, to bring value to their own data is valuable, otherwise it is rubbish, not only without any positive effect, but will play a role in confusing. People on the data is also a consumer relationship, sometimes even if not for data payment, even if not to make the movement of communication and support, data and information are occupying our space, occupy our energy, and even affect our judgment.

As the platform of Information management and communication, Internet platform is the first and foremost to manage the information publishers and receivers with a responsible attitude. Information publishing behavior itself is motivated, advocating responsible people in good faith under the control of the information release, and the formation of mechanisms, relative to the information itself and the effect of information dissemination control, this direction of management is more important, and more effective.

The most essential prerequisite, is the operator and regulators do not China, to collate valuable data, it is necessary to first of all the people facing these data classification, TA's thinking mode and behavior patterns, mentality and logical thinking of the study, and then to form a responsible attitude and controllable effect.

If you are dealing with several different groups of people, you need to consider the order of importance and the intersection between them. If you don't know what kind of person you're dealing with, then you need to let your audience tell you what areas they need, what information ta can contribute to you, how to use their information to improve their value, to buy or exchange the information they need.

More rational is, in the beginning of the formulation of strategies and systems first to use subtraction to highlight the focus. No person or institution is going to provide all the data to all, but focus on selected categories of people, even if only a class of people, you specialize in providing valuable data for TA, whether in the work or life, the industry or competitors, you will find the meaning of existence and the support of reality.

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