企业级AI陷“落地焦虑”，联想SSG胡贯中：全栈AI是关键

Core Insights - The application of AI in industrial scenarios is transitioning from "conceptual enthusiasm" to "implementation challenges" as companies seek structural growth opportunities driven by AI technology [1][2] - Lenovo's SSG Group reported a 19.8% year-on-year revenue increase to 16.3 billion yuan, achieving double-digit growth for 17 consecutive quarters, significantly outperforming the industry average [1][3] Investment Trends - Companies are increasingly investing in generative AI, moving from pilot projects to large-scale applications, driven by technological maturity and competitive pressures [3][4] - The evaluation of AI projects has become more pragmatic, with a focus on quantifiable business outcomes and ROI, rather than merely adopting AI for its own sake [4][5] Deployment Strategies - A hybrid deployment model combining local and cloud solutions is gaining traction, addressing data security concerns while allowing for flexibility and scalability [5][6] - Key industries such as manufacturing and supply chain are becoming primary areas for AI integration due to their complex processes and data-intensive nature [6][7] Market Evolution - The enterprise AI market is shifting from a focus on technological advancement to an emphasis on scenario adaptability and system collaboration [7][8] - Lenovo aims to provide end-to-end solutions that encompass data preparation, scenario handling, training, and management, facilitating rapid deployment and scalability [8][9] Future Directions - The future of enterprise AI is seen in the "inference market" and "intelligent agents," with a focus on applying trained models to generate measurable efficiency gains [9][10] - The integration of intelligent agents is viewed as a strategic pillar for enterprise AI, emphasizing the need for scenario-specific solutions rather than merely pursuing high-level technology [10]