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English(EN) Why # AI needs a Proof-of-Concept to Production pipeline: Organisations that treat AI as a series of disconnected experiments will end up with expensive demos,

AI需要生产流水线以避免昂贵的演示和风险

将AI开发视为一系列孤立实验的组织,可能会创造出昂贵的演示和影子IT系统。这种方法可能导致风险增加,而不是带来切实的业务价值。从概念验证到生产的强大流水线对于实现AI计划的全部潜力至关重要。 AI

影响 强调了结构化AI开发以交付业务价值和降低风险的必要性。

排序理由 该集群包含一篇评论文章,讨论了生产流水线对于AI开发的重要性。

在 Mastodon — sigmoid.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

AI需要生产流水线以避免昂贵的演示和风险

报道来源 [2]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    为什么#AI需要一个从概念验证到生产的管道:将AI视为一系列孤立实验的组织最终只会得到昂贵的演示,

    Why #AI needs a Proof-of-Concept to Production pipeline: Organisations that treat AI as a series of disconnected experiments will end up with expensive demos, shadow IT & AI, and mounting risk rather than real business value. katecarruthers.com/why-ai-needs-a…

  2. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    为什么# AI需要一个从概念验证到生产的管道:将AI视为一系列孤立实验的组织最终只会得到昂贵的演示

    Why # AI needs a Proof-of-Concept to Production pipeline: Organisations that treat AI as a series of disconnected experiments will end up with expensive demos, shadow IT & AI, and mounting risk rather than real business value. https:// katecarruthers.com/why-ai-need s-a-proof-of-…