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As enterprises move from debating artificial intelligence adoption to deploying it, AI governance has become the harder question. Autonomous agents now run around the clock across a sprawl of platforms, and controls built for deterministic software were never designed for them.
Many large companies have spent the past few years investing in artificial intelligence infrastructure, software and implementation. Boards approved the plans. Finance built the business cases. Procurement negotiated for computing capacity. One question remained.
AI infrastructure reliability depends on how well compute, networking, power and cooling operate together. Turning early hardware breakthroughs into repeatable deployments requires coordination across engineering, manufacturing and operations.
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