奇富科技费浩峻：大模型正从辅助工具变为驱动核心业务的价值中枢

Core Insights - The AICon Global AI Development and Application Conference highlighted the transformative impact of AI on the financial industry, emphasizing a shift from efficiency tools to value engines [1][3] - 2025 is projected to be a pivotal year for AI technology to fundamentally alter core business scenarios in finance, driven by advancements in foundational models and AI Agent technology [3][4] Financial Industry Developments - The continuous evolution of foundational models like DeepSeek and breakthroughs in AI Agent technology have enabled the financial sector to reach a critical point in its intelligent transformation [3] - Qifu Technology has developed an end-to-end risk control capability system based on rigorous innovation in core risk control modules, improving accuracy and efficiency in risk assessment [3] - The company has enhanced its data mining capabilities through multi-modal video capabilities, achieving over 95% accuracy in user feature consistency verification [3] Applications in Financial Services - The intelligent research report system for the securities industry utilizes large models to instantly analyze vast amounts of financial report data, significantly improving analyst efficiency [3] - In the insurance sector, an intelligent underwriting system employs knowledge graphs and multi-turn dialogue technology to drastically reduce the processing time for complex policies [3] - The consumer finance sector benefits from dynamic risk pricing optimization through 360-degree user profiling and cross-validation with macroeconomic data [3] Future Outlook - The integration of AI and finance is expected to lead to a significant transformation in the industry, marking the beginning of a century-long change in financial value creation [4] - The ongoing technological innovations centered around large models are anticipated to break traditional constraints and pave the way for a more efficient, precise, and creative development path in the financial sector [4]