According to the introduction, this time the two companies once again joined forces to further cooperate and deepen the cultivation around the field of intelligent investment banking, one of the backgrounds is that the cooperation in the previous period has achieved better results, and in response to the new changes and trends in the industry, it is hoped to enhance the role of the credit risk management system of the bond duration for the monitoring of the risk of the bond business.
At the end of 2017, Guohai Securities and Yiheng Information jointly launched the industry's first bond duration credit risk management system embedded in the trustee management process. Combined with the business guideline requirements of the regulators, the system comprehensively assists in the intelligentization of risk control management of investment banking business through the fusion processing of heterogeneous data from multiple sources, the correlation relationship of bond knowledge graph, the dynamic monitoring of bond credit risk, and the automation of fiduciary management process.
Under the framework of this comprehensive cooperation, combined with the reform of the investment banking business of Guohai Securities, with the help of Forbes Information's "knowledge graph" and "unstructured information" extraction technology, the relationship between enterprises and enterprises and enterprises and individuals is y mined through the hidden mass of public information. With the help of "knowledge graph" and "unstructured information" extraction technology of Yiheng Information, we can realize the ability of "human resources and wisdom" superimposed on "big data application and integration and analysis of huge amount of information" by y excavating the relationship between enterprises and enterprises, enterprises and individuals hidden in huge amount of public information, and penetrating them, and combining with the subjective initiative of investment bankers to realize the ability of "human resources and wisdom" superimposed on "application of big data and integration and analysis of huge amount of information", and then we can have a more accurate insight into the value and risk. The company will provide assistance to Guohai in realizing its business with the help of financial technology.
According to the introduction, the two sides will also focus on the field of intelligent investment banking to further cultivate, with a view to providing intelligent solutions for value discovery and risk management of investment banking business in credit risk management, industry analysis, project management, etc.
The two sides will continue to work together in the field of intelligent investment banking.
Financial technology empowers the transformation and upgrading of investment banking
At the seminar held at the same time, Yan Wenbo, Yiheng Information Chairman Zhou Xuehai, McKinsey Global Managing Partner Huang He, General Manager of CSI Technology Liu Hui and other guests around the "AI empowers the transformation and upgrading of investment banking" theme, delivered a wonderful speech.
Wu Zheng, Chief Scientist of Forfar Information, pointed out that the application of AI in the securities industry is being extended from intelligent investment consulting and wealth management to investment banking, and Forfar Information relies on its unique financial knowledge mapping technology to build a highly intelligent cognitive computation engine (Finbuff) that serves the core scenarios of intelligent finance, and gradually builds a standardized knowledge system for intelligent finance, which will assist in the wind control and intelligence of investment banking business. Intelligent.
He believes that there are three key points for AI technology to cut into the intelligent investment banking business. First, with the machine to read all the announcements, news reports, forums, and self media in the market, it can do not miss any doubt, so that the accidental discovery becomes a certainty of full coverage; second, with the machine to regulations, common sense, formula to establish a suitable machine model, so that the machine learns the expert's set of ideas and examination ideas. Third, the machine can synthesize the experience of multiple experts, make suggestions to humans, and can quickly and automatically execute the process of data verification, and accurately give the results of the verification.