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AI's role in infrastructure automation: reasoning beyond deterministic limits

Deterministic automation, while reliable for predictable tasks, struggles with unforeseen variations, leading to unmaintainable systems. AI, specifically large language models, offers a solution by handling the unpredictable 20% of operational workflows where determinism fails. This allows systems to reason through unexpected situations, make judgment calls, or escalate to human operators, providing a crucial layer that deterministic logic alone could not achieve. AI

IMPACT AI can enhance infrastructure automation by handling unpredictable scenarios, improving maintainability and operational efficiency.

RANK_REASON Article discusses the limitations of deterministic automation and the potential of AI to address these shortcomings in infrastructure management, framed as an opinion piece by an industry professional.

Read on Forbes — Innovation →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI's role in infrastructure automation: reasoning beyond deterministic limits

COVERAGE [1]

  1. Forbes — Innovation TIER_1 English(EN) · Chris Wade, Forbes Councils Member ·

    Why Deterministic Automation Was Never Going To Be Enough

    The automation works, until it doesn't, and the cases where it doesn't are growing. Deterministic systems on their own were never going to handle that variance.