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Index/AI & Data/AI Proving Ground Podcast
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AI Doesn’t Break Where You Think: How Storage and Data Readiness Now Decide AI Success

AI Proving Ground Podcast · 2026-04-01 · 28 min

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Topics in this episode

generative AIAI strategyArtificial intelligenceEnterprise AIAI at scale

Episode notes

AI is working. Until it isn’t. Not because the model failed, but because something behind it did. In this episode, recorded live at NVIDIA GTC, WWT’s Mike Trojecki and Everpure’s Kaycee Lai talk through what starts to show up once AI moves into real use. Data that’s harder to access than expected. Systems that slow things down. Security and governance questions that weren’t part of the original plan. It’s a different kind of conversation than most. Less about what AI can do, more about what it takes to actually run it inside a business. There’s a shift happening underneath it all. AI is starting to behave like a core application, which means it inherits the same expectations around reliability, performance and control. And that’s usually where things get complicated. More about this week's guests: Mike Trojecki brings 25+ years of experience across security, cloud, and AI, starting with his service in the U.S. Air Force supporting White House and Air Force One missions. He’s led emerging tech practices at top integrators and now leads the AI Practice at World Wide Technology, driving high-performance AI infrastructure and data strategies.

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  • Everybody Wants AI. Who's Paying for It?85 / 100
  • Your AI Agent Doesn't Sleep. Are You Ready for That? NVIDIA Answers.80 / 100
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