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AI needs production pipeline to avoid costly demos and risks

Organizations that view AI development as a collection of isolated experiments risk creating costly demonstrations and shadow IT systems. This approach can lead to increased risk rather than tangible business value. A robust pipeline from proof-of-concept to production is essential for realizing the full potential of AI initiatives. AI

影响 Emphasizes the need for structured AI development to deliver business value and mitigate risks.

排序理由 The cluster contains an opinion piece discussing the importance of a production pipeline for AI development.

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 needs production pipeline to avoid costly demos and risks

报道来源 [2]

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

    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, s

    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] ·

    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,

    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-…