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The development of art market in the era of big data

2019-11-20 来源: 51Due教员组 类别: Essay范文

下面为大家整理一篇优秀的essay代写范文- The development of art market in the era of big data,供大家参考学习,这篇论文讨论了大数据时代的艺术市场发展。在大数据时代,艺术家们既要关心投资回报,又要在作品中表达自己的思想。为了商业创作必然失去一部分创新性,而创新性是艺术品生命力的一种体现。所以在大数据时代对艺术行业的冲击下,艺术家和消费者应该在自身喜好与商业化之间找到一个平衡点。毕竟艺术品不光是一件商品,同时也是收藏品,艺术家不应该一味迎合大众打造更加商业化的艺术作品,应该加入自己独特的思考,同时也应该具有一定的使命感。

Cloud computing, the Internet of things and the mobile Internet have made big data technology permeate every aspect of our daily life. The large amount of information provided by big data technology improves the efficiency and accuracy of problem solving, and also brings many possibilities for the development of all walks of life.

With the rapid development of computer technology, human beings have stepped into the information society. As a new type of information asset, big data has continuously and profoundly affected various industries and fields of social life.

While cloud computing also provides a place and path for data assets to be stored, questioned, and accessed, it should be clear that the most valuable asset is data. These data include business information inside the enterprise, commodity logistics information in the Internet world, interpersonal interaction information and location information in the Internet world, etc. The data carrying capacity and calculation required by analysis have far exceeded the level that traditional enterprises can reach. How to make these data assets serve for national governance, corporate decision-making and even personal life is an urgent problem to be solved in the development of big data technology. It is also the inner soul of cloud computing and the upgrading direction to be considered.

The core value of big data can be summarized as follows: take the existing historical data as the analysis sample, continuously adjust the data base and algorithm model through practice test, and make as accurate and reliable prediction as possible on the future value and trend with the formed model and big data base.

The application of big data is based on the Internet. The development of the Internet provides more information, information and data for the era of big data. They are inseparable.

Since the real application of big data is based on huge data, the collection of Internet data has become a crucial link. Big data comes in three forms: industry data, machine-generated data, and social data. As far as the author knows, in addition to social data, the other two big data formats are almost blank in the art industry. Therefore, the first step is to collect and sort out the historical data related to art commodities. Whoever makes this step first wins at the starting point.

The three forms of big data have been mentioned above. It takes a lot of manpower and time to collect, organize and analyze these big data. We can collect and collate social data through existing media platforms such as BBS, tieba and weibo. But the existing industry data is almost blank, it may be necessary to contact and integrate all large or old domestic art auction institutions, art trading institutions, art exhibition institutions and other institutions with data. How do you get these agencies to agree to sell you data? How to reorganize and reorganize huge data? These are all issues that need to be addressed.

Only by establishing an algorithm model in the process of prediction and analysis can the value of any big data be fully utilized. For example, CCTV USES big data to analyze the Spring Festival travel rush, where the most people go home, where the most people go out to work, and what kind of transportation is the most popular. It is the second stage of big data utilization, which hardly involves concepts such as data application model and has low explosibility value. The art industry can predict the mainstream intention of the art consumer group, the development of the industry, the state's support policies, the popularity of category collection and so on, all of which are factors that can affect the final result even if not deeply studied. The algorithm and logic relationship need to be studied by senior practitioners and verified for a long time.

The use of big data may overturn the status quo of traditional art industry. Imagine if an authority issued a report to the auction house, telling them that the value of the collection of paintings would gradually decline in the next five years and suggested no bidding or investment. Given the current industry environment, would the auction house believe this report? The market trend of art value is largely hidden in the ranking. Frequent pricing by auction houses still has a great influence on the market. Since they have the ability to influence the market, they don't need to take certain risks to believe such a report. In this way, even if the use of big data technology is effective, the promotion in the industry will be hindered.

In the era of big data, it is more likely to promote mainstream art forms, making artists and consumers flock to commercial art.

Spend money on a picture, now we will, of course, for its investment value, but more because we like the picture, or like this style of painting, but the future is quantified aesthetic standards, the way people look at works of art may be reversed, completely put it as a commodity, most people may be for investment, if you see a picture, industry through large data analysis its value in the next few years is expected to declining, even if you like this picture, you will buy home collection?

For artists, they should not only care about the return on investment, but also express their thoughts in their works. However, the mainstream intention of art consumers can be known through big data analysis. Will this affect their creative motivation? For the sake of commercial creation, part of creativity must be lost, and creativity is an embodiment of the vitality of art works.

In my opinion, under the impact of the era of big data on the art industry, artists and consumers should find a balance between their preferences and commercialization. After all works of art is not just a commodity, is also a collection, the artist should not blindly cater to create more commercial public works of art, should add their own unique thinking, at the same time should also have a certain sense of mission, spread some excellent traditional culture, such ability is more advantageous to avoid the era of big data is quantified art aesthetic, tend to be a kind of style, innovative is weakened.

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