深入金融、能源等核心场景，360十大AI产业实践的价值验证

Core Insights - IDC predicts that by 2030, AI will create a total value of $22.3 trillion globally, accounting for 3.7% of global GDP, with value release being gradual and part of a long-term industrial evolution [1] Group 1: AI Strategy and Implementation - 360 Group has established an "All in Agent" strategy by 2025, focusing on creating "intelligent agents" that deeply integrate into specific business processes to address industry pain points [1] - The company has developed a multi-agent swarm system (L1-L4) to facilitate AI application across the entire value chain, ensuring technology is rooted in industry [1] Group 2: Demonstrated Value Creation - 360's recent release of the "Top 10 AI Advanced Productivity" cases showcases the practical application of its strategy across ten key industries, providing verifiable efficiency data that illustrates how AI can empower industrial value [2] - The cases highlight three dimensions of value creation: 1. Improvement in operational efficiency and cost optimization, with examples such as a hydropower company reducing operational costs by 30% and increasing automation processing capability to 90% [3] 2. Enhanced safety and risk management, particularly in sensitive sectors like finance and education, where 360's solutions improved incident response efficiency by 90% [4] 3. Business process reengineering and service model innovation, exemplified by a project that reduced application processing time from 3 days to 30 minutes [5] Group 3: Competitive Advantages - 360's approach is characterized by "scene deepening," which allows the company to build differentiated advantages by understanding industry-specific nuances and challenges [6] - The company's multi-agent swarm system enables collaborative efforts across various AI capabilities to address complex enterprise operations, demonstrating the feasibility of coordinated AI deployment [6] - The inherent "security gene" of 360, developed over two decades, provides a foundation of trust in critical sectors, enhancing the reliability of its solutions [7] Group 4: Market Position and Transformation - The ten cases span core areas of the national economy, marking 360's transition from a traditional cybersecurity company to an "AI + Security" enabler with clear growth paths in the B2B sector [8] - These cases validate a pragmatic approach to AI integration, focusing on solving specific issues related to efficiency, risk management, and service enhancement, which leads to clear commercial returns [8] - The shift from "technical concepts" to "commercial effectiveness" forms the basis for the company's value reassessment as it navigates deeper integration of AI into industry [8]