西门子肖松：以AI为钥推动工业生产力蝶变跃迁

Core Insights - The breakthrough progress of "Industrial + AI" at the World Artificial Intelligence Conference in Shanghai highlights a transformative shift in productivity across various industries [1] - The development of industrial AI cannot replicate the evolution path of consumer-grade AI due to the high complexity and low tolerance for error in the industrial world [3] - The ultimate significance of industrial AI lies in creating a new paradigm of "human and AI co-integration," pushing industrial innovation to new heights [4] - Industrial AI is positioned as a pivotal point for a new round of technological revolution and industrial transformation, injecting new momentum into the construction of a manufacturing powerhouse [5] Group 1 - Industrial AI requires a "technical brain" proficient in the "industrial language system," driven by the dual empowerment of data and knowledge [3] - Currently, 80% of global industrial data remains untapped in information silos, emphasizing the need for specialized data collection, cleaning, labeling, and structuring [3] - The rise of intelligent agents opens up deeper value spaces in industries, with China providing a natural testing ground due to its complete industrial system and rich application scenarios [3] Group 2 - Siemens has accumulated extensive industry experience and data integration over decades, creating a foundational base for the large-scale implementation of industrial AI [4] - Over 1,500 AI experts at Siemens are collaborating with industry partners and global AI leaders to accelerate the development of industrial foundational models and vertical applications [4] - The "underlying operating system" of industry is being rewritten, expanding the boundaries of imagination and productivity with each technological leap [4]