Real opportunities brought by big data.

Real opportunities brought by big data.

How to use big data?

As the world begins to move towards the era of big data, society will experience similar crustal movement. While changing our lifestyle and way of thinking, big data has prompted us to reconsider the most basic principles, including how to encourage its growth and how to contain its potential threats. However, unlike the printing revolution, we don't have centuries to adapt to it. We may only have a few years.

In the era of big data, tinkering with the original specifications can no longer meet the needs, and it is not enough to contain the risks brought by big data. We need new institutional norms. We need to establish a different privacy protection model, which should pay more attention to the responsibility of data users for their own actions, rather than paying attention to obtaining personal approval at the beginning of data collection.

Standardizing big data technology is the key to the problem. First of all, we can shift from emphasizing the supervision of big data collection to paying attention to the actual use of big data. Secondly, it can make big data less mysterious, no longer a "black box", and increase transparency and accountability in big data applications. A new profession called "algorithm expert" can be created. These people receive special training in computer technology, statistics and data processing, and evaluate the application of big data to ensure that the public feels at ease about the big data system.

As for the balance between privacy and national security, Aristotle, an ancient Greek philosopher, has long raised such a question: "How do we monitor the Guardian?" Even in his time, there was no simple answer to this question.

The real opportunity that big data brings us is to integrate a lot of information to serve our decision-making. The biggest challenge in the era of big data is how to get "value" from big data. Getting the maximum value from big data requires exploratory research methods. In the future, data scientists will be very popular Such scientists should be familiar with the business environment and have operational knowledge.

Many problems are in the use of data! As an asset, data involves management issues, so "data governance" becomes more and more important. The information world also needs a convention, which regards stealing other people's data as a crime and attacking other people's systems as a crime. It is clearly stipulated in the criminal law that it should be our ideal to create a civilized and orderly digital life. In the era of big data, we need to follow up this work as soon as possible, such as conducting dialogue between countries and forming a convention.

Enterprises use data mining technology to deliver accurate advertisements, which also involves privacy issues. A young girl received an advertisement for baby products, and her father flew into a rage and wanted to sue the company. The fact is that the young girl was pregnant before she got married. In this story, the enterprise uses its own customer shopping data and its own data mining software, and there is no problem in the whole process. But it actually violates personal privacy and should be resolutely opposed. There should be some legal problems in this, which need to be studied carefully.

In the era of big data, it is a trend that data, as a resource, is not enjoyed by * * *. "In this case, the use of data inevitably requires value exchange. Under the premise of determining the rights and interests of data, the use of data is paid. The law needs to define the rights and interests of data, and the government defines the types of data (which are private and which involve national security), so that the circulation of data can be governed by laws.

Before the laws and regulations are clear at this stage, we should pay close attention to the security of data resources from the perspective of national security. As an individual, we should understand that "actions may produce data", so when some behaviors involve privacy, we need to be cautious.

On a larger scale, the data published in the public network should belong to all mankind, and everyone has the right to obtain, use and benefit. This can give full play to the role of data resources, bring more convenience to human life and production, and is of great significance to the progress of human society.