IBM商业价值研究所 | 研究洞察 解决人工智能 投资回报难题 如何首席人工智能官穿越复杂性，创造新 的价值路径 IBM如何提供帮助 IBM已为帮助组织在市场上获胜提供专业知识超过一个世纪。客户可 以通过利用IBM在深入的行业、功能和技术专业知识、企业级技术解 决方案以及基于科学的研究创新中的人工智能潜力。 关于IBM咨询公司的人工智能服务更多信息，请访问ibm.com/servic es/artificial-intelligence 有关IBM软件的人工智能解决方案更多信息，请访问 ibm.com/wats on 了解更多关于IBM研究在人工智能创新方面的信息，请访问 research i bm.com/artificial-intelligence3。 内容 前言2 概述3 第1节：何时需要一个CAIO？8 第二节：CAIOs成功需要什么？10 第三节：如何使CAIOs实现更高的AI投资回报率？16 行动指南 18 1 | 前言 | 概述 | 第1部分 | 第2部分 | 第3部分 | 操作指南 首席人工智能官：将愿景转 化为速度 人工智能不仅仅是用户的提示栏；它是国家的力量放大器。它正在重塑国家间的竞争 ...

Investment Rating - The report indicates a positive investment outlook for organizations that implement a Chief Artificial Intelligence Officer (CAIO), highlighting a 10% higher return on investment (ROI) for those with a CAIO compared to those without [18][31]. Core Insights - The role of the CAIO is crucial in transforming AI investments into tangible business value, as they bridge the gap between strategy and execution [6][8]. - Organizations with centralized AI operations led by CAIOs achieve a 36% higher ROI compared to those with decentralized models [20][67]. - A significant portion of organizations (72%) recognizes the need for AI impact assessment to avoid falling behind, yet 68% still initiate AI projects without measurable outcomes [21][80]. Summary by Sections Section 1: When Does an Organization Need a CAIO? - Organizations require a CAIO to drive AI strategy and accelerate adoption, especially when transitioning from pilot projects to enterprise-wide implementations [39][40]. - CAIOs are essential for aligning AI initiatives with business goals and ensuring team focus on shared objectives [40][41]. Section 2: What Do CAIOs Need to Succeed? - Collaboration with other C-level executives is vital for CAIOs to fulfill their responsibilities effectively, with 80% reporting sufficient support from CEOs and other executives [49][50]. - CAIOs must adopt a holistic approach, understanding regulatory environments and ensuring data quality to achieve organizational goals [51][52]. Section 3: How to Achieve Higher AI ROI with CAIOs? - CAIOs can enhance AI ROI by focusing on three key areas: measurement, team collaboration, and authority [79][83]. - Establishing clear KPIs that extend beyond project-specific ROI to include broader business impacts is essential for demonstrating AI's value [81][82]. - The average size of CAIO teams is five, and those with a diverse skill set, including AI experts and business strategists, tend to achieve greater measurable benefits [82].