Industry data marked those things

An awakening vector for data marked employee said: As someone else commented that, we really like the digital world of work construction workers, but we played a very important role, because without us, AI this building skyscraper can not be built.

Industry data marked those things

 
     Big data as a term, its history may not be long, but many form the basis of the data already laid. Let's briefly review the historical data lead us into the era. Circa 18,000 years for storage of human and counts data were analyzed using the rod. Iraq Chango human bones found in what is now Uganda in 1960, which is considered one of the earliest evidence of prehistoric data storage. Paleolithic human tribe will be engraved on a stick or bone, in order to record transactions, they will use sticks and gaps for basic computing, such as forecasting the next time trading activity. In 2400 BC, the abacus as the first dedicated to special equipment used in the calculation of the beginning of Babylon. The first Block Library also appear at this time, this is the first human attempt large-scale data storage.
 
     From ancient times, human development is inseparable from the data. As in recent years, "data age", "artificial intelligence" has become a hot word, the data are having an impact on the business model and corporate profits, it is difficult to find an application that does not use data on the market. Indeed, data has become a valuable resource. Artificial intelligence as a sunrise industry, led to a lot of the development of the industry, while the data label industry demand for labor in all industries is the largest. Because the machine learning requires a lot of data, demand for high quality manual annotation of rapid growth.
 
     If artificial intelligence is a dream, that data is the process of tagging every effort to achieve dream to be paid. When dreams come true, man can liberate labor, more work can be achieved through automation. But before we realize the dream that the world still needs a lot of labor to manually tagging data, these data mark the work can be very tedious, but it is also full of a sense of mission.
 
Because the artificial intelligence of this technological revolution we need.

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