AI Doesn't Scale Until You Stop Calling It Innovation
Databricks1716 字 (约 7 分钟)
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The core reason enterprises fail at AI scaling is treating it as innovation rather than product development; successful cases like Schneider Electric use end-to-end productization processes, unified platforms, and cross-functional teams to embed AI deeply into product value propositions, achieving closed-loop deployment from PoC to production.
入选理由：施耐德电气采用‘hub-and-spoke’模型，组建包含业务、AI、开发、销售等角色的敏捷团队，确保AI解决方案从概念到生产全周期交付。
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