国泰海通CIO俞枫：人工智能前景光明，但道路也会有曲折

Core Insights - The company has initiated its AI application strategy since 2017, adopting the "AI in All" approach to empower various business lines and systems [1] - With advancements in large model technology, the company has upgraded its AI strategy to "ALL in AI," transitioning from enabling AI to transformative AI [1] - The company has implemented over 150 AI application scenarios across various business areas, creating a new development pattern of "ubiquitous intelligence" [1] Technology Challenges - The company identifies the "hallucination" and interpretability issues of AI as significant challenges, particularly in the finance sector where precision is critical [2] - To address these challenges, the company has developed a "1+N" application system, combining general large models with industry-specific models to ensure reliable service outputs [2] Investment Focus - The company emphasizes the need to focus AI investments on core business areas to generate sustainable business value, especially as the enthusiasm for large model applications wanes [2] - The return on investment will become a central concern for companies, necessitating AI to address industry pain points effectively [2] Industry Development - The company advocates for the establishment of a regulated development order to maintain a healthy industry ecosystem, urging collaboration among regulators, institutions, and clients [2] - Industry associations are working on guidelines to standardize development paths, which will support the healthy growth of AI in the securities sector [2] Future Outlook - The company acknowledges the immense potential of AI while recognizing the challenges, suggesting that a collaborative approach can transform technical challenges into new development opportunities for the securities industry [2]