专访西门子全球执行副总裁肖松：中国是孵化工业智能体的热土

Core Insights - The future of industrial AI is seen as a transformative force that will enable individuals to create any product they can imagine, marking a shift from "technology hype" to "deep application" in the manufacturing sector [1][2] - Industrial AI is viewed as a key engine for China to transition from a "manufacturing giant" to a "strong manufacturing nation," with the country being a vibrant application scene for industrial AI [1][10] Group 1: Trends and Opportunities - The World Artificial Intelligence Conference (WAIC) serves as a platform for showcasing the latest achievements in industrial AI and facilitates deeper dialogues with ecosystem partners [2] - There is a strong trend towards AI empowering the real economy and assisting in the transformation and upgrading of the manufacturing industry [2] Group 2: Industrial AI Development - Industrial AI is evolving from being merely capable of "thinking" to being able to "act" and "work," deeply integrating into manufacturing processes to bring about significant improvements in efficiency and quality [3] - The introduction of intelligent agents, such as Siemens' Industrial Copilot, is expected to enhance operational flexibility and simplify complex industrial processes [3] Group 3: Challenges and Solutions - The main challenges in implementing industrial AI lie in the complexity of data and scenarios rather than the algorithms themselves, with approximately 80% of industrial data remaining underutilized due to lack of connectivity [7] - Siemens is addressing these challenges by leveraging its extensive experience across over 40 industries and acquiring companies to enhance its AI capabilities [7] Group 4: China's Industrial AI Landscape - China's manufacturing sector, particularly in emerging fields like battery manufacturing and new energy vehicles, provides a rich foundation for industrial AI applications [8][9] - The country possesses a complete industrial system and a vast number of manufacturing enterprises, creating diverse training samples and application scenarios for AI development [10]