Faster AI time-to-value when planning

on YouTube ↗13m

" summary

WWT runs prototyping in an AI Foundry and AI Proving Grounds to validate datasets, governance and sizing before buying hardware, claiming delivery plus maintenance competency from St. Louis and global labs (over 4 million square feet). Typical surprises: cabling and supply‑chain timing, migration to liquid cooling, and a tenfold increase in power per rack (sometimes 20x) with 408V feeds. Also flags data exfiltration risk when feeding sensitive sets into hyperscaler chatbots and quotes ~18‑month refresh economics.

AI-written summary · about

" chapters (8)

1. 0:00AI planning at MWC 2025
2. 0:44AI problem and data governance
3. 2:13Prototyping AI solutions in AI Foundry
4. 3:54Factory delivery and AI system support
5. 5:17Refactoring data centers for AI
6. 6:44Power cooling and cabling complexity
7. 8:07Accelerating time-to-value with AI partnerships
8. 9:51Engaging stakeholders in AI reviews

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