Group 1 - The core viewpoint of the report indicates that from 2023 to 2025, AI software applications will enter the "L3 cognitive intelligent agent" era, characterized by the integration of large-scale pre-trained models and deep domain knowledge, transforming industries' competitive landscape [1] - Cognitive intelligent agents have penetrated core value chains in enterprise operations, with examples such as Tencent Cloud's platform enhancing code writing efficiency by up to 40%, JD's supply chain agent enabling dynamic optimization decisions, and 360's security agent improving threat detection accuracy by 20% [3][4] - The report suggests that this shift redefines competitive dimensions among enterprises, where those with advanced AI cognitive capabilities will establish new barriers in product innovation, customer service, and operational efficiency [4] Group 2 - The transition to L3 cognitive agents is seen as a critical differentiator between industry leaders and followers, with the ability to deeply integrate intelligent agents into organizational and business processes being a key metric [4] - The next two years are identified as a golden window for industries to build their own "cognitive intelligence" moats, emphasizing the urgency for companies to adapt and innovate [4]

Core Insights - The insurance industry is undergoing a significant transformation from a "scale-driven" model to a "customer-oriented" approach, driven by the integration of cloud-native technologies, AI, and big data [1][3] - There is a pressing need for insurance companies to reconstruct their core systems to enhance quality, reduce costs, and improve efficiency, especially in light of increasing regulatory demands for data security and system autonomy [1][3] Cloud Migration and System Upgrades - Samsung Property Insurance has successfully migrated its core system to the cloud and switched its database from Oracle to Tencent Cloud's TDSQL-PG, becoming the first property insurance company in China to complete such a transition [1][2] - The transition to a cloud-native architecture has allowed Samsung Property Insurance to support high concurrency scenarios and accelerate the implementation of AI applications and ecosystem innovations [2][7] - The company has reported a 45% reduction in annual operational costs post-migration compared to traditional IDC solutions, including savings on hardware maintenance, database licensing, and software costs [7] AI Integration and Future Plans - The ongoing development of cloud-native, AI, and data intelligence is accelerating the digital and intelligent operations within the insurance sector [3][9] - Samsung Property Insurance plans to leverage AI to enhance risk control and optimize business processes, aiming to build a robust risk control model using Tencent Cloud's capabilities [8][9] - The integration of AI with cloud-native systems is expected to reshape the insurance industry's operational logic, facilitating product innovation and improving service efficiency [9]