对话联想 CIO Arthur Hu:AI 投资回报不是单一指标,而是一条循序推进的路径|直击CES

Core Insights - The return on investment (ROI) for AI does not have a universal formula and is highly dependent on the company's development stage, business structure, and specific application goals [1][3] - Companies are increasingly asking specific questions about AI investments to clarify how AI can translate into business value, but ROI remains highly individualized and cannot be easily benchmarked across different companies [1][3] - Lenovo's Solutions and Services Group (SSG) provides a systematic methodology to help clients assess their current AI application stage rather than just a single ROI calculation tool [1][3] Group 1: AI Investment and ROI - Many companies are still in the exploratory phase and have not clearly defined their specific goals for AI, focusing instead on identifying potential valuable application scenarios [1][3] - SSG offers AI Discovery services to assist clients in quickly validating the feasibility of their ideas through proof of concept (PoC) and small-scale testing [2][4] Group 2: Scaling AI Deployment - When clients aim for larger-scale deployment, Lenovo collaborates with them to evaluate their readiness in terms of capability maturity, resource investment, and organizational preparedness [5] - The ROI assessment at this stage is comprehensive, covering the entire technology and operational system, including AI infrastructure, system integration capabilities required for solution deployment, and ongoing operational and management costs [5]

对话联想 CIO Arthur Hu:AI 投资回报不是单一指标,而是一条循序推进的路径|直击CES - Reportify