Group 1: China - Industry Scene Driven and Platform Evolution - Agent as a Service (AaaS) is a significant innovation in the PaaS layer of the AI era, encapsulating AI Agents as service units to support enterprises in executing tasks, collaboration, and decision-making [1] - MaiFengShi is the largest marketing and sales AI SaaS company in China, utilizing its self-developed AI-Agentforce platform to commercialize AaaS, successfully implemented in finance, retail, and education sectors [1] - Huawei Cloud leverages the Pangu large model and Ascend computing power to offer multi-agent collaboration and orchestration capabilities, focusing on government and industrial manufacturing sectors [1] - Lenovo proposes a "Super Factory + AaaS" model, delivering agents via subscription, with representative products serving IT operations, marketing, and office scenarios [1] - China Mobile has built a "Smart Middle Platform AaaS" system, accumulating hundreds of capabilities and opening them to government, culture and tourism, and finance sectors, achieving large-scale utilization through its operator-level platform [1] Group 2: United States - Tech Giants Building Full-Stack Services - Microsoft Azure AI Agent Service is set to officially launch in 2025, providing enterprise-level agent runtime that supports multi-agent collaboration, task orchestration, and compliance, already implemented in finance and manufacturing sectors [2] - Amazon AWS Agents for Bedrock offers a managed agent service with built-in API calls, memory, and monitoring capabilities, with typical applications in travel booking and insurance claims, emphasizing a low-code building experience [3] - Google Cloud Vertex AI Agent Builder provides a platform for agent development and operation, featuring session management, long-term memory, and built-in tools, applied in customer service and recommendations in retail and e-commerce [4] - Salesforce Agentforce deeply integrates agents into CRM, covering the entire customer service and sales tasks, becoming a new engine for driving company revenue [4] - AaaS is emerging as the primary delivery form for digital employees in enterprises, with overseas vendors focusing on underlying runtime and platform capabilities, while Chinese companies emphasize scenario-based and delivery efficiency [4]

Core Insights - The latest "Global CIO Report" by Lenovo and IDC indicates that global enterprise AI spending is expected to grow by 200% by 2025, highlighting a surge in AI application demand and market expansion [1] - Despite 92% of enterprises planning to increase AI investments over the next three years, only 1% believe they have achieved "mature deployment," with data privacy concerns and lack of scalable implementation capabilities being significant barriers [1] Group 1 - The challenge of scalable implementation is a core issue hindering AI application deployment, with traditional AI projects often taking months to implement, leading to a mismatch between technical investment and business needs [1] - Lenovo has introduced two innovative delivery models: Super Factory and AI as a Service (AaaS), aimed at addressing diverse industry needs and accelerating the application of intelligent agents [1][2] Group 2 - The Super Factory leverages hybrid AI advantages to provide standardized modules for rapid delivery, allowing clients to experience and customize intelligent agents online, significantly reducing deployment time by 80% compared to traditional AI projects [2] - AI as a Service encapsulates intelligent agents as a subscription-based service, enabling businesses to access AI functionalities without the need for complex system construction, thus promoting a lightweight and dynamic approach [2] - Lenovo has been leading the transformation of IT services towards AI services in China, with notable projects including the establishment of urban super intelligent agents and partnerships in the cultural tourism sector [2]