Data Analysis, Humanistic Thinking and ” Slow Variables”

New Knowledge Broadens Vision, Science and Technology Change Life. General Secretary Xi Jinping stressed that science and technology have never had such a profound impact on the future and destiny of the country and the well-being of the people.

In today’s era, a new round of scientific and technological revolution and industrial transformation is emerging. New knowledge and technological developments are just like a tidal wave, bringing us to a territory that our predecessors have never set foot in. Starting from today, this edition will launch the ” New Knowledge” column to capture the emerging new knowledge and grasp the new trends affecting the future together with the readers.

Technological development is rapidly changing our society and people’s career planning. According to media forecasts, data analysts will be one of the most important jobs in the future. Perhaps in the near future, 80% of the positions in an enterprise require mastering the ability of data analysis.

How important is data analysis in the era of big data? For enterprises, facing the ” torrent” of big data, it is ” as difficult as drinking water from an open high-pressure water pipe” to extract effective information. Therefore, in the current digITal wave, turning massive data into usable information, mining the value of data and making it fall to the ground effectively, truly serving the national economy and the people’s livelihood, has become a must for every IT service provider.

With the development of artificial intelligence, why do we need data analysts? One of the reasons is that artificial intelligence needs a lot of data to learn and identify, and their interpretation of things is very different from that of human beings. For example, it is easy for human beings to identify a picture in which children are eating an apple. In order to teach algorithms to accurately identify an apple, tens of thousands or even millions of apple pictures need to be provided.

In addition, contrary to some people’s belief that ” liberal arts are useless” in the big data era, some experts believe that traditional ” liberal arts students” are easier to find good jobs in the big data era. The ” liberal arts” mentioned here refer to jobs that need to deal with people, such as market researchers, consulting, education, entertainment and so on, which are not purely technical jobs. Data show that, in the context of technological progress, such jobs have increased by about 30% in the past few years worldwide.

In the era of big data, it is possible to create a new blue ocean by combining the knowledge of liberal arts with the technology of science and engineering. For example, curiosity big data = market research, literary creativity internet = social network manager, etc.

More importantly, data analysts with humanistic thinking may notice the ” slow variable” behind the trend. Compared with the information that we can access every day, the so-called ” slow variable” refers to the variable that we don’t often contact but has important influence on the future. For example, climate change, tide of sea water, condensation and melting of glaciers, etc., these slowly formed realities have had a great impact on our world.

According to Moore’s Law, we are living in an accelerating world: faster computers, markets, trends, product cycles, and even our thinking and actions are accelerating. But at the same time, some people began to wonder why the faster the speed, the less time. Perhaps, in the face of the surging waves of the information age, we should pay more attention to those slow, lasting and firm ” slow variables” with a humanistic heart.

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