An AI analyst can complete the work that humans take 30 days to do in just 30 seconds! East China Normal University has established a new AI+ finance platform
An AI financial reasoning analyst can complete the work that a human team would do in 30 days in just 30 seconds, and the data has been verified layer by layer to ensure accuracy. On May 23rd, at the unveiling ceremony of the Shanghai Artificial Intelligence Finance Industry Research Institute and Incubator of East China Normal University held at “Mosu Space” in Xuhui District, the research institute team released several core achievements.
Shao Yilei, the director of the research institute, introduced that the team’s developed multimodal, delillance-free, and inference-enhanced financial reasoning large model SmithRM is embedded in the “financial reasoning thinking chain Database” and the “policy-industry-company multi-source and multi-state data pool”, providing an independently controllable technical foundation for scenarios such as intelligent credit, financial analysis, and risk control. The simultaneously released financial intelligence evaluation Benchmark FinAR Benchmark is used to assess the comprehensive capabilities of various general large models and financial vertical models in tasks such as financial understanding, logical analysis, and fundamental judgment. This evaluation system not only fills the gap in the quantitative evaluation of domestic financial reasoning capabilities, It also provides a systematic reference for regulatory authorities and financial enterprises to select and deploy large models.
The financial agent family SAIFS-F4 made its debut simultaneously, including AI Jason (Financial Analyst Agent), AI Alex (Risk Control and compliance model Governance Agent), AI Jay (political, economic and macro Analyst agent), and AI Emma (Data Scientist agent). These agents will reconstruct the logic of knowledge labor in the middle and back offices of finance and form the “digital co-author group” in the new intelligent financial system.
Wang Junlin, deputy director of the Financial Large Model Laboratory of the Research Institute, demonstrated the AI agent Jason on the spot. He completed a 44-page, 18,947-word credit report of a listed company in just 30 seconds. All the data were verified by the illusion detector to achieve zero illusion and were accompanied by accurate data reference sources.
Two AI+ finance application scenarios were demonstrated on the spot. The two demonstration scenarios of intelligent credit and macro analysis jointly built by the research institute and the Shanghai Branch of Agricultural Bank of China, with the help of the financial intelligent agent system SAIFS-F4, achieve a closed loop of “data – model – scenario – feedback”.
The reporter learned from the meeting that the newly established research institute has received strong support from Xuhui District. It focuses on the research and development of large language models in the trusted finance vertical category, the creation of artificial intelligence finance demonstration scenarios, and the construction of financial corpora, promoting the in-depth integration of “industry, academia, research and application”. Under the tripartite collaboration of the Xuhui District Government, the Shanghai Branch of Agricultural Bank of China and East China Normal University, the incubator will accelerate the construction of a full-chain closed loop of “fintech large model research and development – scenario verification – industrial transformation – ecological incubation”, and assist Shanghai in building a global fintech center.
On the same day, the “East China Normal University – Agricultural Bank of China Shanghai Branch” Artificial Intelligence Finance Application Innovation Center and West Bank Joint Technology Finance Laboratory were inaugurated.
Meng Zhongjie, the deputy secretary of the Party Committee of East China Normal University, said that the university will rely on the research institute to focus on three strategic fulcrums, namely, forging a highland of core technologies and breaking through the underlying technologies of financial technology, to equip financial security with a “Chinese lock”. Innovate the model of integrating industry and education, cultivate compound talents through “interdisciplinary integration + scenario-driven”, and build a full chain of entrepreneurship incubation. Build an assessment system that takes into account both innovation and ethics, and export the “Shanghai Experience” of artificial intelligence governance.
The Shanghai Branch of Agricultural Bank of China simultaneously released the “Ten Measures of the Shanghai Branch of Agricultural Bank of China for High-Quality Services to the Artificial Intelligence Industry”, adhering to supporting the artificial intelligence industry as an important direction for serving the national strategy, and building a technology financial service ecosystem of “government + Agricultural Bank + supporting services”. Create a distinctive model of “investment banking + commercial banking + transaction banking” for serving artificial intelligence enterprises. Meanwhile, the Shanghai Branch of Agricultural Bank of China launched the Model Speed Loan product and introduced a “one park, one policy” batch service model, focusing on serving artificial intelligence enterprises within the Model Speed Space.
The “Model Speed Incubation Power Forum” was held on the same day. The forum, with the theme of “AI Gravitational Field: From Origin to Explosion”, brought together leading figures from six incubators and accelerators to jointly explore the construction and development path of the entrepreneurial ecosystem in the AI era. The forum also released the “Star Map Concept”, looking forward to the future trends of the AI entrepreneurial ecosystem.
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