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Obsessed with covering transformative technology.

San Francisco + NYC
Joined July 2009
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Tomorrow in SF: the Agentic Infrastructure Stack Summit. Leaders from Microsoft, Uber, Adobe, T-Mobile, Box and more will cover inference economics, memory and context infrastructure, and what it takes to run agents in production. Limited seats left: bit.ly/4s0pbEd
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Applications for Agentic Infrastructure Stack Summit, close today ⏳ 2 days until enterprise leaders from Microsoft, Uber, Adobe, T-Mobile and Box get candid about running agentic AI at scale. Wed, Oct 28 · SF bit.ly/4s0pbEd
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3 days to #AISS2026, and applications close tomorrow. Uber’s Uday Kiran Medisetty on the economics of agentic AI, plus Microsoft, Adobe, T-Mobile, Box & more. Oct 28, SF. Apply: bit.ly/4s0pbEd
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4 days to #AISS2026. Leaders from Microsoft, Uber, Adobe, T-Mobile and Box on running agentic AI in production: inference costs, memory, orchestration. Oct 28, SF. Applications close Monday. bit.ly/4s0pbEd
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Your AI pilots worked. Now what? 👀 @Microsoft, @Uber, @Adobe, @TMobile, @Box & more get real about running agentic AI in production. Wed, Oct 28 in SF. Applications close MONDAY. Free for approved enterprise leaders 👉 bit.ly/4s0pbEd
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56% said their GPUs sit idle at least half the time, against 83% of all other companies running AI in production.
The AI bubble isn’t where Wall Street is looking. It’s inside the enterprise. 79% of companies running AI say the GPUs they use sit idle at least half the time. Yet 70% of those companies plan new AI infrastructure, according to three months of VentureBeat Intelligence surveys.
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Enterprises are paying for two kinds of AI that can’t easily stand in for each other: GPUs that sit idle, and frontier models those GPUs can’t run. That’s where the AI bubble is. venturebeat.com/ai/ai-bubble…
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Governing AI agents in production is turning into an infrastructure problem. Glad to have @OneTrust with us at the Agentic Infrastructure Stack Summit, Oct 28 in SF. Applications close Monday: bit.ly/4s0pbEd
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