金科：未来三到五年，面向全链路的AI将进入更广泛深入的应用

Core Insights - The rapid development of technologies such as large models and intelligent agents has prompted companies to elevate AI to a strategic level, but there are common misconceptions in industry transformation [2][5] - Successful digital transformation requires focusing on four key elements: organizational capability adaptation, process reconstruction, data governance, and ecosystem collaboration [2][5] Group 1: Key Elements for Successful Digital Transformation - Organizational capability adaptation: Executives need to enhance their understanding of digitalization and break down interdisciplinary barriers [2][5] - Process reconstruction: Establishing an "AI organization" based on the closed-loop capabilities of large models and intelligent agents to redefine human-machine collaboration processes [2][5] - Data governance: Accumulating high-quality datasets and ensuring smooth data flow between systems to lay the foundation for large model applications [2][5] - Ecosystem collaboration: Partnering with technology vendors to compensate for internal digital capabilities and achieve resource complementarity [2][5] Group 2: Future Outlook - The future will see broader and deeper applications of AI focused on business scenarios and full-link processes, which will be a significant characteristic in the next three to five years [6] - Emerging fields such as global asset allocation and digital currencies will generate new digital demands [6] - Institutions are advised to systematically plan their transformation paths, avoiding blind investments and finding a balance between technological innovation and risk management for sustainable development [6]