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Guanghua, Peking University, Du Xiaoman financial technology seminar was held, focusing on cutting-edge AI technology

Time : 22/02/2022 Author : jp1ta7 Click : + -
        CNR Beijing, July 20 news on July 20, Peking University Guanghua Du Xiaoman financial technology laboratory held the "Peking University Guanghua Du Xiaoman financial technology frontier technology seminar", Chen Zhong, Professor of Peking University School of computer, director of blockchain Research Center, former dean of Peking University School of software and microelectronics, Liu Xiaolei, distinguished professor of Boya at Peking University and director of Finance Department of Guanghua School of management at Peking University, Xu Dongliang, CTO of Du Xiaoman, Yang Qing, executive chairman of Du Xiaoman Technical Committee, and others attended the seminar. At the meeting, the digital intelligence transformation of the financial industry, 5g application, its impact on financial technology, and the application of blockchain in the financial industry became topics of common concern in the industry, University and research circles.
 
        Xu Dongliang, CTO of Du Xiaoman, said that finance is an industry that highly depends on data decision-making, so the application of cutting-edge technologies such as artificial intelligence often chooses to start from the financial industry and then expand to other industries. The financial industry is the pioneer of industrial intelligence. With the deepening of 5g and the advent of the era of short video, fundamental changes are taking place in the structure and processing level of data, which puts forward higher requirements for data processing technology. Taking the financial risk control scenario as an example, Xu Dongliang introduced that Du Xiaoman applied deep learning, graph calculation, multimodal recognition and other technologies to risk control, and extracted risk variables from text, behavior, multimedia and other data, making a significant breakthrough.
 
        Take the important basic data credit report on which credit risk control depends as an example: the traditional method can only extract dozens or hundreds of risk variables on a credit report. Du Xiaoman applies natural language processing and graph machine learning technology to the interpretation of text data in the credit report. At present, more than 40 million dimensional risk variables can be derived, reducing the credit risk by 25%. The integration and innovation of 5g, big data, blockchain and finance are also the key topics of the participating scholars. Liu Xiaolei, distinguished professor of Boya at Peking University and director of the Finance Department of Guanghua School of management at Peking University, said that the combination of financial technology and traditional finance is the core driving force to promote economic development and solve the financing difficulties of small, medium and micro enterprises.
 
        The role of fintech is to empower traditional finance, such as allowing traditional finance to apply big data risk control, intelligent investment advisers and even blockchain technology. Chen Zhong, Professor of School of computer science, Peking University, director of blockchain Research Center, and former dean of School of software and microelectronics, Peking University, said that financial technology innovation will be driven by the instrumental and governance of blockchain. Governance plays a role in the trusted execution environment, business organization collaboration, organizational form, and adjustment of production relations, connecting blockchain regulators and regulated objects, so as to realize sharing Interaction of CO governance. At the meeting, Yang Qing, executive chairman of Du Xiaoman Technical Committee, introduced the specific application of cutting-edge AI technology in the financial field.
 
        Yang Qing believes that AI anti-counterfeiting in the financial field is not just as simple as recognizing the true and false faces. At a time when AI technology and finance are constantly intertwined, daily links such as customer acquisition and risk control are changing in the direction of intelligence. Therefore, AI anti-counterfeiting in the financial field should not only aim at a single breakthrough of deepfake technology, but also consolidate and innovate the security of the whole closed loop and each node. Du Xiaoman's AI technology research has won a number of recognition in academia and industry in recent years. Natural language processing technology surpassed Samsung, Microsoft, Google and Stanford to win the first place in the Microsoft Marco competition; The self created trans model performed well and won the first place in the knowledge map "World Cup" OGB challenge; Visual recognition technology has published many papers at international conferences such as acmmm and CIKM.
 
        Blockchain has won the top 50 Forbes rankings twice, and continues to combine cutting-edge AI capabilities with financial scenarios to strengthen the service capabilities of financial technology, such as applying blockchain technology to core enterprises and upstream and downstream financing scenarios, significantly reducing the financing costs of small and micro enterprises. The national "14th five year plan" for the development of digital economy has made it clear that the financial industry is listed as one of the seven key industries of digital transformation. Experts at the meeting believed that at present, the application of artificial intelligence in finance is only a small part of its potential. Blockchain, privacy computing, natural language processing, graph computing, digital people and other technologies will further accelerate the implementation with policy support to promote the transformation of financial digital intelligence.
 
        On July 20, Peking University Guanghua - Du Xiaoman financial technology laboratory held the "Peking University Guanghua - Du Xiaoman financial technology frontier technology seminar". At the meeting, the digital intelligence transformation of the financial industry, 5g application, its impact on financial technology, and the application of blockchain in the financial industry became topics of common concern in the industry, University and research circles.
 
        
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