Carey: Large Ecological data

Source: Internet
Author: User

2014 Zhongguancun Large Data day on December 11, 2014 in Zhongguancun, the General Assembly to "aggregate data assets, promote industrial innovation" as the theme, to explore data asset management and transformation, large data depth technology and industry data application innovation and ecological system construction and so on key issues. The Conference also carries the questions from the government authorities to the needs and practices of all walks of life, and probes into how the government, finance, operators and so on can realize the transformation and industrial innovation through the management and operation of data assets.

Conference site, Zhongguancun large data industry Secretary Carey brought "ecological large data" keynote speech. The following is the full text of the speech:

Carey: I want to say a word, there are always people forward-looking, proactive, leading the trend of the times. Zhongguancun CMC in 2012 as early as the United Broadband Capital, United Ufida software Baidu Large company set up zhongguancun large data Industry Alliance, our alliance in several aspects of the work, we have 2014 years, we held a line under the activities of 500 games, aggregated industrial resources, has more than 500 free members, More than 300 paid members, as well as 10 companies. In the field of large data has formed a very strong appeal, so today to share a topic with you, why do banks have so much influence, how do we promote the development of the industry?

We think that the root of the impact is that our most essential thing is thinking, we aggregate a lot of industry talent, these people together can bring insights, can really help the enterprise upgrade, can really help local industry upgrade, this is our most fundamental purpose. So we combined the experts and scholars from various industries together to put forward our joint three. This is our most fundamental basis, we continue to form the basis of the joint three theory of zhongguancun large data Industry alliance continues to form a brand, our brand continues to attract more social capital, social capital in turn to help enterprises grow. This is the core of our alliance, our alliance has three ideas, the first is called on the enterprise strategy, the second on the regional economy, the third organizational change. I have each one in a nutshell, what is the so-called regional strategy? In the past, enterprises to measure the value of land, now different, with data assets as the core, to re-examine the development strategy of enterprises, to comb the data assets is directly proportional to the enterprise, and the company's own yield ratio. The second regional economy, just we talk, they communicate with leaders, all talk about local economic discovery, whether it is intelligent city or not, can not be separated from industrial development.

Two topics in industrial development, the first issue of how to upgrade the original industry, the second emerging industry how to aggregate the problem, in a word to summarize the standard of polymerization industry, based on large data, the production of service chain into the development of the economy, we are based on this as a service in many places, We help Guiyang to help the top level of the medical industry planning, the plan has just passed the Zhongguancun Management Committee, we through this idea to reflect, first of all, we find which enterprises can really help members, can really and enterprises docking together, we this process is actually the process of resource integration, The policy of helping local governments to introduce development ideas has completed the docking of industry, enterprise and capital in this process.

The third is called organizational change, because the way it is made up in the big data age is very different from the past, and the cost of reducing is greatly reduced. In the past many states in a wide range of areas today, the original transaction cost is zero, what is the form of organization? The second problem, the development of industrial ecology, the industrial ecology there may be no one to give orders to the previous, also did not dictate the enterprise, but the overall view of his organization how to manage? The third question, all of us here are High-tech talent, are knowledge workers, there are two characteristics, the first his knowledge Ebara Yu, his own knowledge beyond the needs of the job. Second, his time is free, how to let him serve the organization target. These three theories are interrelated, and the Enterprise strategy studies the development of enterprises at the micro level. On the regional economy, the development of the meso-level is fundamental. On the industrial change to point out the direction of our industrial change.

Our theory of think tanks, based on these three, helps local leaders achieve economic planning, take this as an opportunity to drive industry, capital, so we formed a three plus n model, which refers to any one industry to find a subdivision of the enterprise, this enterprise is human capital, in the large data age, human capital, No one has no technology, previous tools or your technology, but now no one has no money. Now there is no technology and no expertise to get the technology. So the first human capital. The second aggregation is funding capital, we are in each field to promote the professional fund to help the growth of enterprises, the third in this area of the subdivision of our alliance as a carrier, the establishment of professional committees to get through the social needs of social capital, and finally when social capital, human capital really play a role in the development of this industry. This n is a number of industrial clusters, this is the industrial core.

We draw a dynamic topic. The second topic is the ecological problem. We talk about three topics, the first how to combine data resources, the second how to achieve value, the third how to build industrial ecology. I hope you will enter our last forum speech, I put the microphone to the host to enter the next link. Thank you!

(editor: Mengyishan)

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