With the rise of computer technology, artificial intelligence has entered all aspects of people's lives. In recent years, artificial intelligence has also been gradually welcomed by the capital market. Compared with human subjective analysis, artificial intelligence can process more information and make objective analysis.
At the same time, apart from law firms, accounting firms and asset appraisal institutions, there are currently few mainstream professional service organizations in the market, which can not meet the actual needs and related supervision of investment markets, investors and invested companies at all levels. The needs of the organization. The arrival of artificial intelligence can undoubtedly solve the problem of lack of investment risk analysis in the medical professional field.
In the “2016 Artificial Intelligence and Medical Capital Market Application Summit Forum†held on December 10th, Sanggeshi Information Technology Consulting (Chengdu) Co., Ltd. (hereinafter referred to as “Sanggeshi Information Technologyâ€) under the Sangge Medical Group The Sangge Artificial Intelligence Risk Control System was first released worldwide. Based on professional research, the system can analyze and provide buyer market pre-risk management, investment risk warning, post-investment professional management IT system development and services for professional investment institutions and listed companies.
The picture shows Fan Gang, vice president of the China Economic System Reform Research Association, giving a keynote speech | Wang Enhui
Fan Gang, vice president of China Economic System Reform Research Association, Wu Qinggong, vice president of China Pharmaceutical Enterprise Management Association, and Zhao Chunlei, secretary general of Shenzhen Big Data Industry Association, respectively invest in medical technology based on medical science , health industry policy, and medical industry investment based on big data. The application in the middle gave an in-depth presentation. 100 medical listed companies and professional buyer organizations, 50 domestic academic research and association institutions, 100 top international investment banks and 100 professional financial technology media came to the site.
Different from traditional investment analysis methods, artificial intelligence can deeply analyze massive data when analyzing investment risks, and learn independently on this basis. Through the algorithm research on existing results, new algorithms and results are obtained. The whole process is independently developed by the computer to avoid human subjective interference.
It is reported that as the world's leading intelligent robot risk management system, Sanggeishi artificial intelligence risk control system has access to the seven major authoritative professional standards basic database sources in the global capital and industry market, using financial engineering model design to utilize big data supercomputing methods, professional Cloud storage system self-constructed medical health industry secondary market real-time price index and risk factor analysis database.
Shen Jinshan, chief researcher of Sangge Medical, explained to reporters: "Now there are many artificial intelligence investment consultants, but the Sangge artificial intelligence risk control system is concerned with risk control. Our system is not to help users to make money, but to help users accurately analyze Risks that may arise during the investment process, the risk index is told to the user, the decision is made, and the control is always in the hands of the user."
On the other hand, in terms of the investment database requirements of some professional investment institutions, the procurement cost of the data management system is less than one million and tens of millions. Such a large amount of basic investment is a substantial expense for some professional investors or some small and medium-sized investment institutions. The investment research in the medical field not only needs to use the data in the mainstream basic database, but also needs to go deep into the industry's insight analysis to obtain reliable research results to guide investment decisions.
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