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Shanghai ObserverUpdated Nov 2 21:52

Pudong AI + Fintech Investment and Financing Matchmaking Event: Bringing AI Companies Face to Face with Financial Institutions

AI summary

Pudong held an AI + fintech investment and financing matchmaking event, enabling early-stage AI companies that have technology but lack application scenarios and capital to communicate directly with equity investment and financial institutions and exchange cooperation intentions. Pudong is home to 13 national-level financial element markets and more than 1,200 licensed financial institutions, providing application scenarios for fintech companies. This matchmaking event is the first in a series of regular roadshows; going forward, it will continue to screen high-quality sci-tech innovation companies and work with venture capital institutions to achieve precise matching.

Body · AI translation

At the recently held Pudong AI + Fintech Investment and Financing Matchmaking Conference, enterprises communicated face-to-face with investment institutions and financial practitioners, exchanged cooperation intentions, and explored opportunities for subsequent implementation. On one side are early-stage enterprises that have already developed real businesses in the AI + finance track, which have technology but lack scenarios and capital; on the other side are equity investment and financial institutions, which can provide the "ammunition" and scenarios that fintech enterprises need most. The event focused on the AI-empowered fintech track and built a bridge connecting industry and capital. Pudong has 13 national-level financial factor markets and more than 1,200 licensed financial institutions. At the same time, Pudong's three leading industries—artificial intelligence, integrated circuits, and biomedicine—are thriving. Strong financial resources combined with a solid foundation in science and innovation industries bring rich implementation scenarios and broad business cooperation space to fintech enterprises. At the matchmaking conference, Li Haining, former Chief Information Expert of Bank of Communications, former Chairman and President of BOCOM Technology, and specially invited expert of the Fintech Service Professional Committee of the Shanghai Modern Service Industry Federation, said that the industry has now entered a new stage of development of "AI + fintech," and fintech construction is undergoing profound changes, shifting from a past emphasis on system building to taking AI as the core development engine, with technologies such as large models, machine learning, agents, and knowledge graphs as the underlying support. "Scenario-based finance alone is only the initial industry connection. Higher-quality industrial development requires building links from the perspective of the industrial chain and constructing a complete data loop." Li Penglei, product head of Shanghai Zhihui Shutou Technology Co., Ltd., introduced that the company is currently working to turn professional investment management capabilities into inclusive technological infrastructure. Relying on its self-developed Fin Mind financial investment large model and AI agents, it is innovating the asset management and wealth management industries, realizing equal access to investment capabilities, and making investment simple, enjoyable, and widespread. "We are not satisfied with improving existing tools; rather, we want to reconstruct the underlying technological foundation of wealth investment and make institutional-grade professional investment capabilities accessible to a broader range of users." Shanghai Cuigua Network Technology Co., Ltd. is also developing the DBrain Industrial Finance Digital Brain Platform. The entire product consists of two major modules: a data capability aggregation foundation and a financial AI application generation platform, and supports deployment on financial institutions' intranets and private clouds. At the data foundation level, the company accesses compliant and trustworthy multi-source public data, covering more than 67 million active enterprises nationwide and more than 3,000 analytical dimensions, including business registration and financial statements, tax and invoice data, judicial information, intellectual property, and supply chain information, thereby helping financial institutions reduce costs and increase efficiency. The reporter learned that this AI + Fintech Investment and Financing Matchmaking Conference was the first event in a series of regular roadshows. Subsequent matchmaking conferences will continue to be held regularly. Pudong will continue to screen high-quality science and innovation enterprises and work with venture capital institutions and financial institutions to carry out precise matching, helping to build the fintech industry ecosystem.

Source

Shanghai Observer