The AIGC Seminar on Promoting the High-quality Development of Science and Technology Finance was successfully held in Beijing

On January 24, 2024, under the guidance of the Beijing Municipal Local Financial Supervision and Administration Bureau, the AIGC Boosting High Quality Development of Science and Technology Finance Seminar, hosted by Beijing Think Financial Development Research Institute and hosted by Factor Cloud Technology, was successfully held. This meeting invited officials from multiple government departments and enterprises, including China Life Insurance, Jinchangchuan Capital, Wanhe Securities, Maijia Intelligence, and Factor Cloud Technology, to participate.

During the conference, the guests had extensive exchanges and in-depth discussions on how to more accurately predict consumer behavior, create more attractive customized content, improve user experience and service quality, and reshape the industry value chain through the integration of technology and scenarios, in the context of the increasingly widespread application of AIGC technology in the financial field. They also discussed how to achieve a new pattern of industrial development that benefits all parties.

Guests attending the meeting visited the innovative practice of the service scenario of Factor Cloud Technology

Founder and CEO of Mega Intelligence, Luo, became a guest and presented a scenario application sharing on "Practice and Reflection on Large Model Development and Scenario Application". He introduced three core technologies in the field of AIGC technology and emphasized the basic usage of large models. With the help of advanced data analysis and machine learning algorithms, large models can achieve more accurate predictions and personalized decision support in financial services. He emphasized the crucial role of these models in complex behavior analysis and market trend prediction. Luo Cheng also demonstrated the judicial language model of the era of big models, pointing out that the application of such models in the field of financial law can significantly improve the efficiency of legal document analysis and the accuracy of compliance checks, while assisting financial institutions in legal risk assessment and decision-making.

Founder and CEO of Mega Intelligence, Luo, became a guest and presented a scenario application sharing on "Practice and Reflection on Large Model Development and Scenario Application". He introduced three core technologies in the field of AIGC technology and emphasized the basic usage of large models. With the help of advanced data analysis and machine learning algorithms, large models can achieve more accurate predictions and personalized decision support in financial services. He emphasized the crucial role of these models in complex behavior analysis and market trend prediction. Luo Cheng also demonstrated the judicial language model of the era of big models, pointing out that the application of such models in the field of financial law can significantly improve the efficiency of legal document analysis and the accuracy of compliance checks, while assisting financial institutions in legal risk assessment and decision-making.

Guo Xiaoyu, Vice President of Factor Cloud, deeply analyzed the development potential of commercial health insurance in the context of aging population and comprehensive improvement of multi-level medical security system by 2035 in his keynote speech "Embracing the AGI Era and Supporting the Reform of the Health Insurance Industry". He emphasized that combining innovative insurance products with health and medical management services is crucial, which requires new products that can connect insurance with the entire health ecosystem. This type of product should target the existing market demand and promote the close integration of health management and insurance services, providing consumers with more comprehensive and personalized health protection solutions. On this basis, he presented the latest digital therapy algorithm model developed by Factor Cloud. This model uses advanced data analysis and artificial intelligence technology to more accurately assess individual health status and potential risks. Through this model, health insurance companies can provide more accurate personalized health advice and insurance plans, greatly improving service quality and customer satisfaction.

Capital has given high attention to the landing opportunities in the field of large models. In the view of Luo Yuhang, Assistant Chairman and Investment Director of Jinchangchuan Capital, the large models represented by ChatGPT have opened the prelude to general artificial intelligence, while the large models in the vertical field can better focus on specific industries, fields or scenarios, better meet the needs of users in specific situations, and coupled with the excellent data endowment advantages and professional requirements of the financial field itself. Therefore, The application of big models in the financial industry will usher in a blue ocean. At the same time, Luo Yuhang emphasized that finding a balance between data value and security compliance is an important challenge in applying big models. The particularity of bank data determines that banks must maintain a cautious attitude when applying third-party technologies.

Li Rui, General Manager of Wanhe Securities Private Equity Business Center, delved into the importance of integrating finance and technology, especially in the context of the rapid development of artificial intelligence technologies such as big models. He emphasized that these technologies will become important auxiliary tools in the financial field in the short term, and may fundamentally change the business model, profit model, and customer interaction mode of the entire industry in the long term. By utilizing artificial intelligence technologies such as large models, financial institutions can more accurately analyze market trends, risk assessments, and customer behavior, thereby improving the efficiency and quality of decision-making. And in the future, with the development of technology, the potential of artificial intelligence in improving transaction speed and accuracy should not be underestimated, which is of great significance for improving market efficiency and reducing operating costs.

Finally, based on this event, Gan Yutao, Executive Director of Beijing Xinke Financial Development Research Institute, summarized that the current large-scale model is in full swing, and the financial industry is the best landing scenario for AIGC. In the future, it is inevitable to reshape the entire financial industry. However, how to use data sources in a compliant and efficient manner, to arrange and dispatch computing power as a whole, and to promote mutual cooperation between financial institutions and technology companies, is the next stage of improving resource efficiency, The foundation for achieving overall agile transformation of institutions. Looking ahead to the future, driven by technology, a more open industry ecosystem in the financial sector will accelerate its formation.

Editor's note

At present, the era of digital economy has arrived. The "14th Five Year Plan for the Development of Digital Economy" issued by the State Council clearly points out that the digital economy is an important manifestation of the comprehensive strength of the country in the digital era and an important engine for building a modern economic system. It is a consensus among practitioners to promote high-quality development of finance through five major articles. The traditional financial industry has officially bid farewell to the era of "lying down and winning" in the past, walked out of the original offline hall waiting model, and actively embraced the trend of online development. Financial institutions such as banks, insurance, and securities are using digital transformation as a starting point to promote the deep integration of the digital economy and the real economy. At present, building a new development pattern and promoting high-quality development is an important mission of the financial industry. Through the meeting, participants gained a more comprehensive and profound understanding and reflection on the application and development of AIGC technology in the financial field.v