On January 29th, financial technology service provider Ronghui Jinke announced that it has completed nearly 10 million US dollars of Series A financing in recent days. The investor is Sequoia Capital China Fund.
On January 29th, financial technology service provider Ronghui Jinke announced that it has completed nearly 10 million US dollars of Series A financing in recent days. The investor is Sequoia Capital China Fund.
Wang Jin, chairman and CEO of Ronghui Jinke, said that this round of financing will be mainly used in two aspects: system and team building. On the system, efforts will be made to increase investment in artificial intelligence technology, computing resources and system development. On the team, the company hopes to attract and train more talents with comprehensive risk management capabilities and big data risk control expertise.
According to the latest financial technology annual report data of Zero Financial, there were 649 financing incidents in the financial technology field in 2017, an increase of 8% year-on-year; the total amount of funds involved was 139.7 billion yuan, an increase of 19% year-on-year. It can be seen from the high fever of investment and financing in the field of financial technology that the current development of China's financial technology is rapid and has a strong stamina.
The fate of financial technology and artificial intelligence
Kai-Fu Lee has said that one of the best application areas of artificial intelligence is the financial sector, because the financial sector is the only purely digital domain.
The biggest driving force for industrial development is policy. In 2017, artificial intelligence was included in the government work report, and the State Council issued the “New Generation Artificial Intelligence Development Planâ€, which raised artificial intelligence to the national strategic level. Subsequently, on December 14, the Ministry of Industry and Information Technology issued the "Three-Year Action Plan for Promoting the Development of a New Generation of Artificial Intelligence Industry", pointing out that it is necessary to take the market demand as a traction, actively cultivate innovative products and services of artificial intelligence, and promote the industrialization of artificial intelligence technology. Promote the integrated application of smart products in the fields of industry, medical care, transportation, agriculture, finance, logistics, education, culture, and tourism.
Under the guise of the wind, major financial institutions have seized new markets in an effort to transform and upgrade. Since 2017, China Construction Bank, Industrial and Commercial Bank, Agricultural Bank, Bank of China, and Bank of Communications have signed strategic cooperation agreements with Alibaba, Jingdong, Baidu, Tencent and Suning respectively to kick off the smart finance.
Taking Industrial and Commercial Bank of China and Jingdong as an example, Jingdong said that it will take advantage of the company's advantages in big data, artificial intelligence, cloud computing and other technologies, and ICBC in financial technology, retail banking, consumer finance, corporate credit, campus ecology, and assets. Comprehensive and in-depth cooperation in areas such as management and personal joint accounts.
According to the 2017 China Smart Finance Industry Development Report, the assets of smart investment management in 2017 exceeded US$28.8 billion, with an annual growth rate of 87.3%. It is estimated that by 2022, the total assets of smart investment management will exceed US$660 billion. Smart investment services serve a market with great potential.
What can artificial intelligence do for financial technology?
With the advancement of related technologies, the means of online credit fraud is becoming more and more sophisticated. Traditional risk prevention mechanisms cannot effectively cope with these challenges, and artificial intelligence uses machines to solve large-scale and high-frequency processing of data. This problem can effectively improve the early warning ability of financial risks.
In addition, in the relatively standardized business of intelligent customer service, underwriting claims, anti-fraud, etc., artificial intelligence can provide very large support, thereby improving the efficiency of the insurance industry.
In the field of smart investment, compared with traditional investment advisory services, smart investment can label users and asset information in a label, which can accurately match users and assets.
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