9月12日至13日，2025 ITValue Summit数字价值年会在三亚如期举行。本届大会以「AI场景落地真相」 为主题，聚焦企业应用AI过程中的「十大核心问题」，系统性拆解AI战略、可靠性、数据困境、场景 选择、模型选型、行业落地、知识库构建、安全合规、人机协作与人才瓶颈等现实难题，力图为企业找 到可落地、可借鉴的解法。 13日下午，连续在大会期间举办了两年的CIOxCFO闭门会上，推动企业AI落地的两类关键角色——CIO 们和CFO们围绕当前AI技术在企业中的应用展开了深度交流。 会上，由钛媒体研究院和ACCA共同出品的《数字化转型新范式》（下称《报告》）正式发布，这是该 报告连续第四年推出，从过去三年《数字化转型新思》到如今《数字化转型新范式》，报告名称的变化 也展现了当前转型进程的变化。此外，今年报告的重要内容是在调研中总结了四大特征，并以对应案例 进行了详细拆解。 此外，现场CFO和CIO们也在积极对话，探讨不同视角下的AI落地共识。 南方电网邱国峰博士以审计数字化转型为主题，对审计的现状与未来，以及构建智能审计生态进行了分 享。 绿城中国数字化建设中心总经理补声东也以企业AI大模型落地实践为主 ...

Core Insights - The victory of AlphaGo over Lee Sedol marks a pivotal moment in the evolution of artificial intelligence, transitioning it from a concept in science fiction to a foundational force reshaping the business landscape [2] - The rise of AI is leading to a paradigm shift in business education, integrating data science, ethical philosophy, technological innovation, and strategic thinking into a comprehensive academic framework [2] Group 1: Technological Reconstruction - AI is penetrating core business areas, transforming marketing from an "art" to a "science," with AI-driven strategies improving customer conversion rates by over 30% and reducing marketing costs by 20-30% [3] - Supply chain management is undergoing an intelligent revolution, with AI enabling real-time demand sensing and dynamic optimization, exemplified by Amazon's Kiva robots reducing order processing time from 60-75 minutes to 15 minutes and increasing inventory turnover by 40% [3] - The finance and accounting sectors are experiencing automation, with machine learning fraud detection systems achieving a 95% accuracy rate, significantly surpassing the 65% accuracy of manual audits [3] Group 2: Educational Transformation - Leading business schools are redefining business education, with Stanford introducing a "computational thinking" curriculum and Wharton offering a specialization in "AI and Business Decision Making" [4] - Chinese business education is adapting with programs like Tsinghua University's "AI and Management Innovation" and Zhejiang University's focus on "Digital Business" [4] - The shift in education emphasizes a transition from "tool-based" learning to "paradigmatic" thinking, fostering critical evaluation of AI outputs and optimal decision-making in human-machine collaboration [4] Group 3: Model Innovation - AI is driving new business models and competitive landscapes, with platform companies leveraging data assets and algorithmic capabilities to establish near-monopolistic positions [5] - Subscription economy models are thriving under AI, with personalized services becoming mainstream through continuous data collection and algorithm optimization [6] - The sharing economy is optimizing resource allocation through AI algorithms, enhancing efficiency and creating new value networks [6] Group 4: Future Trends - The democratization of technology is lowering barriers for small and medium enterprises to access AI tools, with platforms like Google AutoML making AI more accessible [7] - Cross-disciplinary integration is blurring the lines between business and technology, leading to the emergence of "bilingual talents" who possess both technical and business insights [7] - Ethical considerations are becoming more prominent, with regulations like the EU's AI Act and China's Personal Information Protection Law highlighting the need for balance between innovation and compliance [7] Group 5: Challenges and Responses - The development of new business paradigms faces challenges such as algorithmic opacity and data quality issues, which can lead to biased decision-making [8] - Addressing these challenges requires advancements in explainable AI (XAI) to enhance algorithm transparency and the establishment of AI governance frameworks [8] - Organizations must cultivate a data-driven culture and reform educational curricula to produce talent that combines technical skills with business acumen [8] Group 6: Future Outlook - The new business paradigm in the AI era emphasizes the need for leaders to possess technical understanding, business insight, and ethical judgment [9] - Business education is evolving towards a "dual-spiral" structure, enhancing both technical skills and humanistic values to prepare leaders for the AI age [9] - The ultimate mission of new business education is to create a collaborative, intelligent business civilization where technology empowers rather than replaces human capabilities [9][10]