Shulou(Shulou.com)05/31 Report--

Recently, the same shield cloud map-knowledge graph was successfully selected as a typical application scenario and excellent solution of artificial intelligence in Zhejiang Province in 2021. In order to promote the implementation of the Zhejiang Action Plan for promoting the Development of a New Generation of artificial Intelligence (2019-2022), the Department of Economic and Information Technology of Zhejiang Province focuses on the application of the new generation of artificial intelligence in digital reform, led by typical demonstrations. accelerate the integrated development of the new generation of artificial intelligence and the economy and society, especially the real economy. After being declared by various units, recommended by various localities and reviewed by experts, the Economic and Information Bureau of Zhejiang Province finally determined 24 typical application scenarios and 42 excellent solutions (products) of artificial intelligence in Zhejiang Province in 2021.

It is understood that cloud map-knowledge graph is an integrated knowledge graph construction and application solution of independent research and development with Shield science and technology, which can provide a unified knowledge graph construction platform, knowledge computing, graph learning computing framework and application products. it has been widely used in intelligent finance, smart city construction and other fields, and has been applied in many large state-owned banks, joint-stock banks, head insurance companies and large enterprises. It can better control the risk, improve the business efficiency and reduce the business cost.

Nowadays, with the continuous improvement of external risks and the upgrading and concealment of fraud gang technology, it is impossible to effectively intercept simply through expert experience and scoring model. In the face of practical problems in the field of financial risk management, the same shield cloud map-knowledge graph applies artificial intelligence technology to provide the whole process of knowledge graph platform planning, graph design, index design, product deployment overall solution.

For example, banking financial institutions deploy cloud map-knowledge graph platform on the basis of full diagnosis and analysis of retail customer data assets in the whole bank, which can realize the construction of self-defined relationship graph, graph algorithm mining, graph association index calculation and graph visualization, so as to realize the transformation of data from single point to graph, break through the boundary of only single point derivative feature index, and deeply mine the hidden value of data assets. Achieve a significant improvement in models and strategies.

It is understood that in the same shield AI product family, "cloud map-knowledge graph" is one of the most vital products in the same shield product family. With its outstanding performance in technological innovation, product capability and market share, it has been widely recognized inside and outside the industry. Has been selected in Guangzhou and Chongqing twice in the people's Bank of China financial science and technology innovation application "Supervision sandboxie" project, and won the people's Bank of China's "financial electronization" selected by the 2021 financial industry new technology application innovation outstanding contribution award, the China Science and Technology Journalism Association selected the 2021 Group Innovation Award, and by the well-known enterprise digital product review platform letter review as the industry "leader".

Since its landing, the same shield cloud map-knowledge graph has been continuously upgraded in the four core links of scenario scheme, storage architecture, platform extension and general standard products, guided by customer needs. Today, the cloud map technology architecture has entered the 3.0 era, and a mature "1century N" product architecture has been formed, that is, knowledge graph product solutions for different businesses and different scenarios are derived on the base of a standard knowledge graph platform.

According to the person in charge of the research and development of cloud map-knowledge graph, at present, cloud map has laid a strong foundation at the platform and functional level, but the road of cloud map innovation has no end, and in the future, Tong Dun will continue to strengthen the business and knowledge accumulation in all areas and scenarios of cloud map, touch the business core with richer and powerful innovation tools, and bring better quality solutions to customers.

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