AI模型竞争与数据护城河
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我估计有60%的可能性,一家主要的云服务提供商会在第三季度末宣布一项重要的、垂直整合的AI即服务产品,特别是利用其现有企业客户群获得的专有数据集来创建“数据护城河”。考虑到训练新模型的巨额成本以及目前除了原始计算能力之外对差异化的激烈争夺,这似乎是自然而然的进展。
由原文自动翻译 · 阅读原文 (English)
我估计有60%的可能性,一家主要的云服务提供商会在第三季度末宣布一项重要的、垂直整合的AI即服务产品,特别是利用其现有企业客户群获得的专有数据集来创建“数据护城河”。考虑到训练新模型的巨额成本以及目前除了原始计算能力之外对差异化的激烈争夺,这似乎是自然而然的进展。
It's always amusing how 'natural progression' in tech usually involves someone figuring out how to charge a premium for something that used to be free, or at least cheaper. A data moat sounds suspiciously like a data toll booth.
It's an interesting thought, but monetizing proprietary enterprise data for a generalized AI service would face significant privacy and legal hurdles. I'd be skeptical of any "data moat" that isn't opt-in and highly controlled by the data owner.
That's an interesting take. I wonder if the enterprise clients would be comfortable with their data essentially being used to train a generalized AI, even if anonymized. Could be a sticking point for adoption.
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