Shulou(Shulou.com)06/02 Report--

This is the best of times and the worst of times.

The first beneficiaries of the intelligent age are those who develop it and use it. And those who are far away from him who refuse to accept him will be a confused generation for a long time.

Through the popularity of big data and the fact that data has become the core driving force of the next generation of technological revolution and social change, the intelligent era expounds its core point of view to change the intelligence problem into the data problem.

What is data? in the impression of many people, data is a number, or it must be made up of numbers, but in fact, the scope of data is much larger than numbers. Any content on the Internet, such as text, pictures and videos, is data; all files in hospitals, including medical images, are data; various design drawings in companies and factories are also data; words and diagrams on unearthed cultural relics, even their size, materials are data; even the universe left a lot of data in the process of formation, such as the number of elementary particles in the universe.

Although the data itself is objective, its scope is constantly changing and expanding with the process of civilization.

Where did the early human data come from? One of the important sources is the observation of phenomena. Summarizing data from observations is an important difference between humans and animals. The latter has the ability to observe but cannot summarize the data, but humans have the ability to do so. The data obtained and the ability to use data is one of the criteria to measure the level of civilization development.

The process of using data can be used to obtain data, analyze data, establish models, and predict the unknown.

Correlation is the key to using data.

Mathematical model is the basis of data-driven method.

Turn intelligence into data.

Our understanding of the importance of big data should not stop at statistics, improve products and sales, or provide decision support, but should see that he (together with Moore's Law, mathematical model) led to the emergence of machine intelligence. And once machines produce intelligence similar to human beings, it is no exaggeration to say that it is big data and the intelligence revolution that determines economic development in the next 20 years.

When the causality can not be determined, the data provides us with a new way to solve the problem, the information contained in the data can help us to eliminate uncertainty, and the correlation between the data can replace the original causality to some extent. To help us get the answers we want to know, this is the core of big data's thinking.

The way of thinking determines scientific achievement.

The information contained in the data can help us eliminate uncertainty, and the correlation between the data can to some extent replace the original causality and help us get the answer we want to know, which is the core of big data's thinking.

In the future, we can see that big data and machine intelligence tools are just like water and electricity, which are provided by special companies for the use of the whole society.

Existing industry + machine intelligence = new industry

Big data is a good medicine to solve the uncertainty.

Looking at the world with uncertain eyes, and then using information to eliminate this uncertainty, is the core of big data's solution to the problem of intelligence.

Every technological revolution revolves around a core technology, this time data.

The intelligent revolution will bring unprecedented discontinuity challenges.

The revolution of machine intelligence comes from the accumulation of a large amount of data to reach the singularity of qualitative change.

It can be said that mankind will encounter unprecedented discontinuity, how to survive in the new era, across the discontinuity at the bottom is the first step forward.

We need to break the existing cognitive shackles and begin to cross the discontinuity of thinking.

If we take capital and mechanical action as the driving force of global modernization since the era of great navigation, then data will become the core driving force of the next technological revolution and social revolution.

From causality to strong correlation, the ability of logical reasoning is a unique ability of human beings. if we give the reason, we can get the result through logical reasoning. In the past, we have always emphasized British relations, on the one hand, because we are often the existing reasons, and on the other hand, because we cannot find the reasons, and we often feel that the results are not very credible. For example, in the past, the development of new drugs in modern medicine is a typical example of using causality to solve problems.

Very often, lagging behind the advanced gap cannot be made up by the purchase of some machines or the introduction of some technology. the most photographable place to lag behind is the backwardness of the way of thinking. The West has been in the forefront of the world in modern times. to a large extent, the test is the overall leadership of the way of thinking.

Mechanical thinking was once a revolutionary methodology that changed the way humans work and played a decisive role in the industrial revolution and subsequent global industrialization, and it still guides our actions in many places today. If we can find certainty (or predictability) and causality, this is still the best outcome. But the complex situation we are facing today can no longer be made clear by a few laws in the mechanical age. Uncertainty or it is difficult to find certainty is the norm in today's society. When causality cannot be determined, the data provides us with a new way to solve the problem. The information contained in the data can help us eliminate uncertainty, and the correlation between numbers can replace the original causality to some extent. Help me get the answer we want to know. This is the core of big data's thinking. Big data's thinking is not completely opposed to the original mechanical thinking. He is more of a supplement to the latter. In a new era

There must be a new methodology, and it will certainly produce a new methodology.

In the future, we can see that big data and machine intelligence tools are just like water and electricity, which are provided by special companies for the use of the whole society.

Big data's thinking is not abstract, but there are a whole set of methods that enable people to find relevance through data, and finally solve a variety of problems.

Technology changes business model

Because of the characteristics of large amount of data, many dimensions and complete data, it is very different from the past data methods from the beginning of collection, to storage and processing, and then to application. Therefore, it is necessary to adopt different methods in technology and engineering to use big data well.

Big data's first source is the computer itself, and the second is the sensor.

Parallel computing and real-time processing are not as simple as adding machines.

Big data has a huge amount of calculation to deal with because of his large volume and many dimensions. His efficiency depends on the level of parallel computing.

First of all, there is always a part of any problem that cannot be calculated in parallel. The larger the proportion of this kind of computing, the lower the efficiency of parallel processing. Second, there is no guarantee that the amount of computation for each small task is the same. And the requirements for implementation.

Big data will lead to industrial upgrading and changes in our society. However, if you compare the changes before and after each industrial revolution, you will find that many of the basic needs of human beings have not changed, but after the adoption of new technologies, new industries will replace old industries to meet human needs. In the technological revolution, there is no way out to cling to the old industries.

In all previous technological revolutions, a person, an enterprise, or even a country, can choose only two ways: either join the wave, become the top 2%, or wait and see and be eliminated.

This is the best of times and the worst of times.

What can be photographed in the future is not the replacement of machines, because machines do not know what they are doing, but the people who make intelligent machines are different. They may account for only 2% or less of the population, but control the world to some extent.

Big data led to the arrival of the machine revolution, which has an impact on the future society not only in the economic field, but in all directions. Although these effects are generally positive and will make our future society better in the long run, like previous technological revolutions, the intellectual revolution will have many negative effects, especially in the early stages of its development. and these effects are likely to last for a long time.

In every technological revolution, it is the people who develop it and use it that initially benefit. And those who are far away from him who refuse to accept him will be a confused generation for a long time.

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