我是陈海洋（Benjie）。过去十五年，我在中国最复杂的数据体系里做同一件事：把 Data+AI 的技术语言，翻译成业务能用的决策语言。I'm Haiyang Chen (Benjie). For fifteen years I've done one thing inside China's most demanding data systems: translate the technical language of Data+AI into decision language businesses can use.

从阿里云到腾讯云，我负责大数据与人工智能产品线的品牌策略、产品故事、技术内容与分析师关系——十亿级用户规模、lakehouse + cloud-native、大型银行与券商的数字化转型，都是我真正做过的叙事场景。我相信，同样的效果可以更便宜，同样的信息可以更清晰。From Alibaba Cloud to Tencent Cloud, I led brand strategy, product narrative, technical content, and analyst relations for big-data and AI product lines — billion-user scale, lakehouse + cloud-native, and the digital transformation of major banks and brokerages are all scenarios I've actually shaped narratives for. I believe the same outcome can be cheaper, and the same information can be clearer.

我同时是 Springer Nature 旗下期刊《Minds and Machines》（哲学 × AI × 认知科学交叉）的审稿人。这让我在谈 AI 时，习惯先问"凭什么可信""责任落在谁身上"——也是我写「边界层笔记」的底层视角。I also serve as a peer reviewer for Minds and Machines (Springer Nature), a journal at the intersection of philosophy, cognitive science, and AI. It makes me ask, whenever I talk about AI, "what makes it trustworthy" and "where does responsibility land" — the same lens behind The Boundary Layer.