AI赋能金融转型——新华财经“智能”升级打造金融信息服务新模式

Core Viewpoint - The financial industry is accelerating its digital transformation, with artificial intelligence (AI) becoming a key element in reshaping core competitiveness and enhancing service efficiency [1][2][4]. Group 1: Digital Transformation in Finance - The financial sector is rapidly adopting digital technologies to better serve the real economy, with AI penetrating all scenarios within the industry [2]. - In 2024, the financial industry is expected to account for 36.7% of large model implementation cases, with banking leading at 15.4% [2]. - The Chinese government's guidance emphasizes the need for a digital-driven operational system in finance, enhancing decision-making, resource allocation, and risk management [2]. Group 2: New Features of Xinhua Finance Professional Terminal - The newly launched Xinhua Finance Professional Terminal (intelligent upgraded version) includes features such as cross-border bond trading information, intelligent corporate workstations, and comprehensive enterprise risk control information [4][6]. - The terminal integrates AI large models with corporate knowledge bases, allowing users to query information efficiently and generate reports automatically [5][6]. - It focuses on four key scenarios: bond trading, corporate marketing, risk control, and investment research, offering over ten new functionalities [6]. Group 3: Collaboration and Innovation - Xinhua Finance and Guoli Currency are collaborating to establish a financial data innovation laboratory aimed at driving digital innovation and enhancing data value [3]. - The partnership will address pain points in investment research, trading, and risk control, developing innovative data products to improve market efficiency [3]. Group 4: Risk Management and Investment Services - Xinhua Finance has developed a "risk perception network" covering eight core risk dimensions, enabling proactive risk management through real-time monitoring [6]. - The terminal provides comprehensive information services for equity investment, addressing challenges in due diligence, project identification, valuation, and exit strategies [7].