The value of big data in the area of financial science and technology
The previous alpha-dog beat south Korean
chess player lee sedol, leading the world's five most valuable companies to
spend their first tech companies: apple, alpha dog, facebook, Microsoft and
amazon. It can be seen that the global economy is undergoing a great
transformation, and financial technology is experiencing an accelerated
development.
The national finance and development
laboratory and the social science literature publishing house jointly hold the
blue book of financial science and technology: China financial science and
technology development report (2017). Since 2016, financial science and
technology represented by big data, cloud computing, blockchain and artificial
intelligence has become a hot topic in the financial industry, according to the
blue book. Both traditional financial institutions and emerging financial
institutions have pushed forward the innovation of science and technology,
taking technology as the core driving force, improving operating efficiency,
reducing operating costs and improving user experience.
Taking blockchain as an example, blockchain
is the underlying technical architecture of Internet finance. Blockchain is a
unique way to store data in cryptocurrencies such as bitcoin. The maturity of
Internet finance relies on the maturity of block chain technology to some
extent. Take the example of artificial intelligence, the development of
artificial intelligence, are now risen from conceptualization to
standardization, Internet financial under the transformation of artificial
intelligence will change from "Internet + financial" gradually to
"Internet + financial + + artificial intelligence" big data
transformation. The development of artificial intelligence in the Internet
finance field will mainly experience the four stages of data standardization,
algorithm automation, risk modularization and transparency. Big data will have
great application value in Internet finance era. With the rapid development of
Internet financial, personal credit database in China has gradually put into
use, the expansion of data storage and the increase in customer demand for
database system security, reliability, efficiency, and further put forward the
higher request.