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毕马威中国:企业激活AI价值潜力 要克服安全、数据隐私等问题
毕马威中国通信、媒体及科技行业主管合伙人陈俭德表示,科技行业正处于快速转型周期,存在巨大的 开拓机会,创新不断加速,竞争格局持续调整。在行业内,部分企业正带头行动,构建使其他组织转型 受益的AI;另有部分企业则专注于将AI集成到当前的产品和服务中;更有少部分企业已完全将AI嵌入 其运营中。整体而言,提升整体生产力仍是科技企业利用AI实现价值的核心焦点。 2025年政府工作报告提到,持续推进"人工智能+"行动,将数字技术与制造优势、市场优势更好结合起 来。近年来,越来越多科技企业开始利用AI能力来提高运营效率、决策能力和数据管理能力。然而, AI在实际落地过程中,也面临着数据扩展、伦理、人才与专业知识瓶颈等诸多挑战。 报告提出,安全和数据隐私问题是限制企业AI价值潜力的两大关键挑战。尽管如此,AI给企业带来的 效益已体现在降本增效、加快数据驱动决策、提升数据分析和洞察力等多方面。科技企业正站在AI驱 动的数智化转型新起点,既充满机遇,也面临挑战。 此外,许多科技企业仍缺乏清晰的AI战略、实施计划、技术基础设施和信任框架。毕马威中国技术和 新经济管理咨询服务主管合伙人高人伯表示,企业还需在战略层、职能层、基础层协 ...
报告称AI给企业带来的效益已体现在降本增效等多个方面
Zhong Guo Xin Wen Wang· 2025-06-18 17:31
Group 1 - The core viewpoint of the articles highlights the increasing adoption of artificial intelligence (AI) by technology companies to enhance operational efficiency, decision-making capabilities, and data management, while also facing challenges such as data expansion, ethics, and talent shortages [1][2] - The report titled "Intelligent Technology: A New Blueprint for Digital Transformation Driven by Artificial Intelligence" analyzes the new opportunities brought by AI, indicating that AI benefits are reflected in cost reduction, accelerated data-driven decision-making, and improved data analysis and insights [1] - The report integrates quantitative and qualitative inputs from industry experts, analyzing over 500 AI implementation cases and surveying 1,390 global decision-makers to quantify the potential value of generative AI for 17 million companies worldwide [1] Group 2 - The technology industry is undergoing a rapid transformation cycle, presenting significant opportunities for innovation and continuous adjustment of competitive landscapes [2] - Some companies are leading the way by developing AI that benefits other organizations, while others focus on integrating AI into current products and services, and a few have fully embedded AI into their operations [2] - The report identifies future opportunities for technology companies in performance optimization, customer relationship management, operational execution, and code generation and optimization, although many still lack clear AI strategies and implementation plans [2] Group 3 - The report suggests five measures to accelerate the realization of AI value, including establishing a coherent AI strategic vision, building trust in AI during initial stages, promoting AI-driven product innovation, and leading talent transformation through AI tools [2]