Group 1 - The establishment of the Shenzhen Research Institute by Shandong University of Finance and Economics is a significant step in implementing the innovation-driven development strategy and integrating into the Guangdong-Hong Kong-Macao Greater Bay Area [1] - The research institute aims to strengthen the collaboration between the university and the Greater Bay Area, enhancing industry-academia-research cooperation to support high-quality regional economic and social development [1] - Longhua District is focusing on building a "Digital Longhua" through a three-pronged approach of digital economy, digital city, and digital governance, which aligns with the university's strengths in finance and talent cultivation [1] Group 2 - During the event, the research institute signed cooperation agreements with several organizations, including the China Small and Medium Business Association and Shandong Financial Group (Hong Kong) [2] - A seminar titled "Deep Integration with the Greater Bay Area to Build a New Pattern of Regional Collaborative Development" was held, featuring discussions on the application of data analysis in national auditing and the transformative impact of tokens in the digital economy [2] - The director of the Shandong Blockchain Key Laboratory emphasized the importance of data elements in new finance and the laboratory's role in supporting the development of the Shenzhen Research Institute [3]

Core Insights - The eighth Smart Finance Forum held in Shanghai focused on the integration of artificial intelligence (AI) and financial management, emphasizing best practices and ecological collaboration in the field [1][2] - Lu Wenbin, the Dean of Shanghai National Accounting Institute, highlighted the transformative impact of generative AI technologies on financial work, advocating for a shift towards intelligent and digital financial management [1] - The forum revealed the results of the sixth Smart Finance Best Practice Awards, recognizing 10 units for comprehensive excellence and 10 for specific achievements in smart finance [3] Group 1: Development Directions - The forum proposed three key development directions: fostering independent innovation to create a unique Chinese smart finance knowledge system, enhancing security awareness in digital transformation, and promoting open collaboration to build a smart finance ecosystem [1] - The Shanghai National Accounting Institute aims to deepen research and innovation in smart finance, contributing to high-quality development in the accounting sector [2] Group 2: Research and Policy Insights - The Smart Finance Research Institute has identified six dimensions for the development of smart finance, including policy, ecology, theory, technology, talent, and application, with government policies providing strong guidance for industry growth [2] - The institute has gathered 19 organizations and 525 researchers since its establishment in 2018, producing numerous reports and blue papers to advance the field [2] Group 3: Key Highlights from the Forum - The forum showcased new applications of large models and intelligent agents, indicating a rapid acceleration in the smart finance transformation [3] - A debate on "the human-machine competition in future finance" resonated with attendees, reflecting the concerns of finance professionals regarding AI's impact on their careers [3] - The launch of the "Smart Finance Knowledge Sharing Platform" aims to facilitate quick access to knowledge for accounting professionals, integrating advanced models for enhanced efficiency [3]

Core Insights - Shanghai University of Finance and Economics (SUFE) has made significant progress in integrating finance education with artificial intelligence through the launch of the Kuangshi Financial Education Model [4][6] - The FinAgent, an intelligent financial research assistant developed by SUFE, can generate professional reports and simplified interpretations based on user queries, enhancing the efficiency and precision of financial research [1][5] Group 1: Model Development - The Kuangshi Financial Education Model is built on a high-quality financial corpus that integrates various academic resources, including textbooks, academic papers, and enterprise-level financial data [4][6] - SUFE has developed the first national financial R1 model, Fin-R1, and a financial model evaluation system, FinEval, to support the Kuangshi model [4][6] - The model employs advanced architectures and reinforcement learning algorithms to optimize the accuracy of financial knowledge reasoning and educational content adaptation [5][6] Group 2: Application and Integration - The Kuangshi model aims to serve diverse educational needs by incorporating human feedback from finance experts and educators to ensure practical and accurate content [6] - SUFE has established a unified AI teaching portal that integrates various intelligent applications for course design, student tracking, data management, and quality monitoring [6][7] - Collaborations with leading industry players, such as Alibaba and Ant Group, have been initiated to create innovation platforms focused on digital economy research and AI applications in finance [6][7] Group 3: Future Directions - SUFE plans to deepen the integration of education and industry, enhancing the foresight and leadership of its academic programs, particularly in financial AI and interdisciplinary studies [7] - The university has initiated a comprehensive reform plan for high-quality professional degree graduate education, focusing on the digital transformation of over 50 professional directions [7]

Core Insights - The "Kuangshi Financial Education Large Model" was officially launched at the Shanghai University of Finance and Economics, aiming to precisely serve the needs of financial education [1] - The model is based on the university's strong foundation in finance and advanced technology exploration, marking significant progress in integrating AI with financial education [1] Group 1: Model Development - The development of the model is rooted in the university's strengths in applied economics and other disciplines, creating a high-quality, multimodal corpus covering core subjects such as economics, finance, accounting, and statistics [1] - A standardized financial knowledge graph has been established, integrating vast information from classic textbooks, professional books, academic papers, journal literature, premium teaching resources, and enterprise-level financial data [1] - The university has independently developed the first national financial R1 class model, Fin-R1, and a financial model evaluation system, FinEval, providing solid technical support for the large model [1] Group 2: Application Ecosystem - The application ecosystem of the model emphasizes the dual drive of educational integration and industry-education collaboration, deploying intelligent applications across four major scenarios: teaching assistance, learning assistance, research assistance, and management assistance [2] - A unified AI teaching portal has been created, integrating functions such as knowledge graph navigation, intelligent Q&A, and learning situation diagnosis, forming a closed loop of "teaching-learning-evaluation" [2] - The university is actively collaborating with leading industry enterprises to build innovative platforms, enhancing the connection between academic research and industry practice, and providing students with more opportunities to engage with real business [2] Group 3: Future Directions - The university plans to deepen the "trinity" of industry-academia-research cooperation, focusing on the foresight and leadership of its academic and professional layout, particularly in the intersection of financial AI and other cutting-edge disciplines [2] - The goal is to continuously empower financial education and the financial industry, cultivating outstanding financial talents that meet the demands of the times, and contributing to high-quality social and economic development [2]

Group 1 - The core viewpoint of the articles highlights the strategic partnership between ACCA and Gaodun Group, focusing on the digital innovation in accounting education and the cultivation of international talent [1][2][4] - ACCA's global CEO, Helen Brand, visited Gaodun Group's Shanghai headquarters to discuss deepening strategic cooperation and enhancing the role of Gaodun in promoting ACCA in China [1][2] - Gaodun Education has maintained ACCA's platinum-level certification for over a decade, reflecting its significant role in the development of accounting education in China [2][4] Group 2 - The articles emphasize the importance of integrating international standards with local practices in the context of ACCA's future strategy in China, as articulated by Gaodun Group's Chairman, Li Feng [4][6] - ACCA aims to align its standards with Chinese regulatory frameworks while supporting the globalization of Chinese enterprises by providing talent proficient in both international financial standards and local business practices [4][6] - The partnership aims to cultivate future business elites with global perspectives, focusing on developing a talent system that meets the demands of the digital economy and promotes cross-cultural communication [6]

2025年4月21日，由四川省市场监督管理局主办的"数智赋能·知创未来"发布会在成都隆重举行。 财学堂作为四川省首批获得数据知识产权登记证书的企业，受邀出席，并现场完成四川省数据知识产权 交易项目的首单签约，这一开创性实践，不仅填补了四川省数据知识产权交易空白，更是全国财经教育 领域数据知识产权第一单的成功落地。 签约环节，财学堂与深圳德讯证券顾问有限公司达成合作，标志着四川首个数据知识产权交易项目落 地，同时这也是全国财经教育行业数据资产化的首次成功实践。 这场"从0到1"的突破，标志着四川省数据要素正式从资源储备迈向资产增值的全新阶段，为后续数据资 产登记、交易、金融化探索提供了可复制的实践经验，也为财经教育领域企业数据资产化实践提供了成 功参考。 发布会上四川省市场监督管理局正式启动数据知识产权登记平台运营，并向首批获证企业颁发证书。财 学堂凭借在财经教育领域积累的11项高质量数据知识产权成果，成功入选首批认证企业名单。 作为国内领先的终身财经教育平台，财学堂2015年成立以来，始终致力于构建品类齐全、领域多元的终 身财经教育生态系统，以财经教育为核心，以成人财经教育、职业财经教育为重点发展方向。庞大的 ...

Core Insights - The "Digital Empowerment · Knowledge Innovation Future" conference was held in Chengdu, focusing on data intellectual property and digital economy development [1][3] - The conference marked the signing of the first data intellectual property transaction project in Sichuan Province, indicating a shift from theoretical exploration to practical implementation [1][3] Group 1: Data Intellectual Property - Sichuan Province's data intellectual property registration platform was officially launched, with certificates awarded to the first batch of certified enterprises [3] - 财学堂 was recognized for its 11 high-quality data intellectual property achievements, showcasing its leadership in data asset management and innovative applications [3] Group 2: Financial Education Sector - 财学堂 has been committed to building a comprehensive lifelong financial education ecosystem since its establishment in 2015, responding to new opportunities arising from data [3][5] - The successful transaction is seen as a significant breakthrough for 财学堂 in the data assetization field, enhancing the value of data resources [3][5] Group 3: Future Developments - 财学堂's vice president emphasized that the transaction not only provides new momentum for the company's development but also offers valuable experience for the data assetization transformation in the financial education industry [5] - The operation of the data intellectual property registration platform is expected to inject new momentum into the market-oriented allocation reform of data elements, promoting efficient circulation and value release [5]