Shulou(Shulou.com)11/24 Report--

On November 11, 2023 Financial Street Forum Annual meeting "Global Financial Science and Technology Center Network Annual meeting", Beijing Frontier Institute of Financial Supervision and Technology released the important results of the meeting "excellent cases of financial application scenarios of map database". Ant Group TuGraph financial risk control practice is selected in the first batch by virtue of the world's leading risk control response speed and accuracy, which is an important recognition of the product power of ant TuGraph database and its financial application level.

▲ figure: ant TuGraph Financial risk Control practice selected into Financial Street Forum "excellent case of database financial application scenario Beijing Frontier Institute of Financial Supervision and Technology is an unofficial and non-profit research organization under the guidance of Beijing Local Financial Supervision Administration. This selection will provide important guidance for promoting the innovative application of map database in the financial industry.

It is understood that the selection of the "Graph Database Financial Application scenario case" refers to the financial graph database benchmark "LDBC-Finbench" issued by the authoritative benchmark organization of the graph database, the related data benchmark Committee (LDBC), and examines the performance of the selected cases in terms of product power and application effectiveness of the financial scene. The application cases of map database of 5 enterprises, such as Ant Group, Haizhi Star Map and Chuanglin Technology, were selected in the first batch.

According to reports, Ant Group TuGraph financial risk control practice makes full use of the data relevance characteristics of the massive data era, combining risk events, transaction attributes, relationship maps and other risk-related data, combined with the interpretability of chart data, to promote the intelligent risk control system to the industry-leading level. This practice system can also efficiently classify, cluster, identify and predict the whole risk network, so as to provide more accurate, efficient and comprehensive risk management and security protection capabilities.

With the deepening of the digitalization of the financial industry, a variety of risk forms put forward higher requirements for risk control ability, and more and more scenarios need the help of intelligent technology.

Hong Chuntao, head of the map computing department of Ant Group, said, "Diagram computing is particularly good at dealing with complex relationship analysis and supporting real-time decision-making." Ant has developed into an important risk control base for Alipay since 2015, which has been fully applied in business scenarios. It not only realizes the millisecond extreme risk control of the payment process, but also supports the high accuracy of high-frequency trading. It also significantly reduces the asset loss rate and improves the trial efficiency of anti-fraud and anti-money laundering. "

▲ figure: although Hong Chuntao, head of the Ant Group Map Computing Department, has shown technological excellence in various scenarios, there is still great room for expansion in the breadth and depth of future applications. For the industry, the lack of consensus on performance and application benchmark evaluation is the biggest constraint. The map database benchmark FinBench referred to in this case selection provides an open benchmark tool for the application graph calculation of the global financial industry, and its landing is promoted by Ant Group, Intel, TigerGraph and other leading technology companies at home and abroad. In the future, map computing technology will serve a wide range of industries, and we also need the industry to jointly build more benchmarks and standards guidelines, work together to explore more possibilities of technology application, and promote industry development and technological innovation.

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