2025年企业级AI是一个十分火热的词汇，各行各业的企业都在争先恐后的落地AI应用，联想与IDC联合发布的《全球首席信息官报告》显示，2025年全球企 业AI支出将是2024年的近三倍，但37%的企业对AI价值持怀疑态度，低质量数据、模糊ROI、合规风险成为三大拦路虎。可以说，2025年是企业级AI从"技 术实验"走向"价值落地"的转型之年，只有要企业真正看见了AI的在业务侧的价值，才能更好的落地应用。 而随着技术与架构的不断优化，以及企业对于AI认知的不断完善，2026年注定将是企业级AI规模化应用落地的一年。 从"技术实验"走向"价值落地"，务实成主旋律 IDC 2024年《全球企业级AI应用白皮书》显示，2024年全球企业级AI市场规模突破1200亿美元，其中中国市场增速达38.7%，远超全球平均水平。 但与消费级AI的"全民狂欢"不同，企业级AI的落地呈现出鲜明的"务实主义"特征。当生成式AI的热潮逐渐退去，企业开始冷静审视AI的实际价值。 一个明显的现象可以佐证上述观点——2023年的企业级AI市场，还充斥着大量"问答式智能助手"；而到2024年下半年，IBM大中华区技术销售总经理、首席 技术官翟峰 ...

Core Viewpoint - The collaboration between Amazon Web Services (AWS) and OpenAI marks a significant shift in the AI cloud service landscape, breaking Microsoft's monopoly on reselling OpenAI's software and services, and enhancing AWS's competitive edge in the large model cloud service market [3][15]. Summary by Sections Collaboration Announcement - AWS announced support for OpenAI's newly open-sourced models, gpt-oss (120b and 20b), and Anthropic's Claude Opus 4.1, through its platforms Amazon Bedrock and Amazon SageMaker AI [1][4][16]. Strategic Importance - This partnership allows AWS to fill a critical gap in its model library, enhancing its "Choice Matters" strategy, which emphasizes the importance of diverse model options for various industry needs [7][10][15]. Model Ecosystem Development - AWS's platforms now host over 400 mainstream commercial and open-source large models, facilitating a diverse AI ecosystem that accelerates technology adoption and innovation in the AI industry [10][18]. Performance and Cost Efficiency - The performance of gpt-oss-120b is reported to be three times more cost-effective than Google's Gemini, five times that of DeepSeek-R1, and twice that of OpenAI's o4, providing budget-friendly access to top-tier AI capabilities for small and medium enterprises [14][15]. Enhanced Model Deployment - AWS's Amazon SageMaker JumpStart allows for rapid deployment of advanced foundational models, including OpenAI's offerings, enabling efficient customization and optimization for AI applications [14][24]. Future Prospects - The collaboration is expected to create a win-win situation, expanding OpenAI's market reach while solidifying AWS's position as a leading platform for deploying and running various AI models [15][19]. AI Ecosystem Transformation - AWS is evolving from a cloud service provider to an AI capability aggregation platform, enhancing its role in the AI ecosystem and providing better service to customers and developers [19][29]. Model Selection Flexibility - The "Choice Matters" strategy addresses the diverse needs of different tasks, allowing developers to select models based on specific requirements, thus maximizing efficiency and effectiveness in AI applications [21][24]. Conclusion - The integration of multiple models into a single platform is anticipated to lead to a significant surge in AI application development, enabling innovative solutions through the combination of various models [30][31].