数势科技谭李：企业级AI应用不止ChatBI，拿到数据不等于拿到洞见

Core Viewpoint - The emergence of AI Agents, such as SwiftAgent by Shushi Technology, provides a solution for enterprises to enhance data analysis and decision-making capabilities, enabling business personnel to access insights easily and make informed decisions [3][6][34]. Group 1: Industry Challenges and Trends - The current industry faces challenges in effectively utilizing AI for enterprise-level applications, which are more complex than simple integrations like Excel and Chat [1][3]. - Three key trends are accelerating a new data consumption paradigm: "data right shift," "decision decentralization," and "management backshift," which emphasize the need for timely and accurate data access [14][15]. Group 2: AI Agent Development - Shushi Technology has launched the SwiftAgent platform, which aims to empower non-technical business personnel to quickly access data and insights, thereby enhancing decision-making processes [6][23]. - The platform addresses four core issues: enabling quick data access, generating intelligent insights, providing decision recommendations, and linking decision actions [23][24]. Group 3: Market Applications - SwiftAgent has been successfully implemented in various sectors, including finance and retail, demonstrating its capability to provide real-time data insights and support critical business decisions [28][33]. - The platform has been utilized in commercial banking projects, allowing branch managers to access insights and generate decision reports based on industry analysis paradigms [28][33]. Group 4: Future Outlook - The cost of foundational models is expected to decrease significantly, which will further facilitate the adoption of enterprise-level AI applications [15][18]. - The industry anticipates that the integration of AI Agents will transform data analysis and decision-making processes, making them more efficient and accessible for all business personnel [34][35].