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AI failures often stem from poor management, not technology

This article argues that the blame for failed AI implementations in companies is often misdirected. While AI and LLMs can accelerate workloads, the primary issue frequently lies with poor management and ineffective software project execution, rather than the AI technology itself. The author notes that internal chatbots often see low adoption due to poor documentation, and customer-facing chatbots rarely provide a positive user experience. AI

IMPACT Highlights that successful AI adoption depends heavily on effective management and project execution, not just the technology itself.

RANK_REASON The item is an opinion piece discussing the reasons behind AI implementation failures.

Read on Mastodon — fosstodon.org →

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AI failures often stem from poor management, not technology

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    I don't doubt this is true for must companies but to put all the blame in AI and LLMs while giving management a pass is a bit too biased for my own taste. Again

    I don't doubt this is true for must companies but to put all the blame in AI and LLMs while giving management a pass is a bit too biased for my own taste. Again, this is mostly a question of "Garbage In, Garbage Out". "Even if you grant that AI tooling accelerates specific worklo…