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Core Viewpoint - The article discusses the achievements and future plans of the "Data Element ×" three-year action plan, emphasizing the integration of data elements into financial technology and capital markets to enhance financial services and promote green finance initiatives [1][4]. Group 1: Financial Technology Development - The People's Bank of China (PBOC) will formulate a new financial technology development plan to deepen the application of financial technology in digital transformation [2][7]. - The PBOC aims to enhance financial service levels and risk resistance through best practices in data governance, sharing, application, and protection [4][7]. - A focus on financial data management and application will be implemented as part of the 2022-2025 financial technology development plan [4][5]. Group 2: Data Elements in Capital Markets - The China Securities Regulatory Commission (CSRC) views data elements as a new productive force and is advancing their integration and innovative application in capital markets [3][8]. - A joint pilot program between the CSRC and the National Data Bureau will explore 13 pilot business directions in eight provinces and cities, with 11 pilot projects already selected [8][9]. - The CSRC emphasizes the importance of data in optimizing resource allocation and supporting economic transformation [8][10]. Group 3: Innovation and Environmental Focus - The "Data Element ×" competition aims to leverage multi-dimensional data to assess environmental and social risks associated with financial activities, promoting resource allocation towards green and low-carbon sectors [3][12]. - The competition includes topics such as AI in capital market governance and enhancing financial services through data analysis [10][11]. - The CSRC encourages participants to address financing challenges faced by the real economy through innovative data applications [11]. Group 4: Risk Management and Data Security - The PBOC has released guidelines for data security management in financial institutions to ensure compliance and protect data rights [6][7]. - Emphasis is placed on using big data and AI for precise risk monitoring and management in the securities and futures sectors [13]. - The goal is to break down "data silos" and enhance the effectiveness of market regulation [13].