Group 1 - The core viewpoint emphasizes the transformation of data assets and the need for effective governance and value conversion in various industries [1][2][3] - The "Data Element × Three-Year Action Plan (2024-2026)" aims to optimize resource allocation and empower the real economy through data utilization, highlighting its significance for high-quality development [1][3] - The increasing importance of data as a core production factor necessitates a focus on governance and value conversion, with data governance being a key link for realizing data value enhancement [1][2] Group 2 - The marketization of data elements is advancing, with nearly 500 central enterprises establishing digital technology companies and about 66% of industry leaders purchasing data, indicating a growing enthusiasm for data utilization [3][4] - The "2025 Digital Economy Work Points" emphasizes accelerating the release of data element value and promoting the integration and sharing of data resources [3] - The ultimate goal of data element marketization is to achieve value through innovative applications by enterprises, which is crucial for unlocking the potential of data elements [3][5] Group 3 - Technology companies are innovating solutions and platforms to enhance the integration of data elements with business scenarios, as seen with Shenzhou Information's "Smart Brain" solution and Tencent Cloud's intelligent agent development platform [4][5] - The financial industry is embracing a collaborative model of software development involving both human modelers and AI programmers, aiming to break traditional departmental silos and enhance efficiency [5] - The shift from a product-oriented mindset to a service ecosystem in the financial sector is essential for improving funding circulation and fostering collaboration within the industry [5]

Core Insights - The recent "Digital Cloud Force 2025·AIxFinTech Parallel Forum" hosted by Digital China Information Service Group focused on AI empowerment in the financial sector, addressing topics such as smart core, credit innovation, financial cloud services, electronic channel evolution, and data asset transformation [2] Group 1: AI and Digital Transformation - The launch of the "Smart Brain" enterprise-level solution integrates data assets with AI technology, aiming to create a digital operation hub that enhances decision-making and operational capabilities [2] - The solution signifies a shift from mere technical application to a management revolution in enterprise intelligence [2] Group 2: Software Development and Collaboration - The future of software development in the financial industry is envisioned as a collaboration between human modelers and AI programmers, with a focus on creating a unified digital platform across the enterprise [2] - The modeling process platform introduced by the company is seen as a critical infrastructure for financial institutions to achieve transformation [2] Group 3: Data Governance and AI Integration - Data governance and value transformation are highlighted as focal points in the industry, with a need for high-quality data supply as a foundation for data assetization [3] - The integration of AI with data governance is explored through three main paths: building knowledge bases, accelerating AI deployment in business scenarios, and driving intelligent R&D through data [3]