度小满朱光：大模型让普惠金融从理念到成为现实

Core Insights - The application of large models in the financial sector is a forefront direction of fintech development and a core topic of the Hong Kong FinTech Week [1] - Large models have significantly improved reasoning capabilities, accelerating their industry application [1] - Large models enable companies to gain deep insights into customer needs, enhancing product design and innovation speed [1][2] Company Insights - Du Xiaoman's CEO, Zhu Guang, emphasizes that large models allow every employee to closely connect with customers, achieving a customer-centric approach [1] - The company processes approximately 60,000 to 70,000 customer interactions daily, utilizing large models to analyze feedback and identify key product issues [1] - The deployment of large models as a credit review Copilot has reduced review time from 10 minutes to 30 seconds, while also lowering risks by over 50% [1] Industry Insights - Large models facilitate inclusive finance, allowing every user to access high-quality financial services, previously limited to high-net-worth clients [2] - The emergence of AI agents for various financial services suggests that individuals may have multiple specialized agents for investment, credit, and financial advice [2] - The integration of AI with Web3 technologies presents opportunities for automated interactions through smart contracts, enhancing the role of AI agents in unfamiliar domains [2]