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Enterprise AI at Scale: The Infrastructure Behind Real-World Impact

How do leading enterprises turn AI ambition into operational reality and returns?

AI is no longer experimental — it's operational. 

The question now isn’t if to scale, but how to do it efficiently, reliably, and with measurable business impact.

This 60-minute virtual panel brought together three of the most authoritative voices shaping enterprise AI infrastructure — from GPU economics and orchestration efficiency to deployment at scale. Learn how to build AI systems that perform dependably, recover gracefully, and deliver lasting business value.

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The Panelists

Suresh Vasudevan_round

Moderator

Suresh Vasudevan, CEO, Clockwork.io

Guiding the conversation on how enterprises can build dependable, high-performance AI systems that scale.

 
 
 

Panelists

Dylan Patel_round

Dylan Patel, CEO & Chief Analyst, SemiAnalysis

Delivers deep technical and economic insight across the semiconductor and AI infrastructure stack — connecting GPU architecture, cloud cost economics, and real-world system performance.
Neil Pinto_round

Neil Pinto, VP of AI Infrastructure, formerly LinkedIn

A 16-year LinkedIn executive with hands-on experience deploying, optimizing, and scaling AI workloads across one of the world’s largest production environments.
Jack Hogan_round-1

Jack Hogan, VP, Advanced Growth Technologies, SHI

Enables enterprise AI success by bridging strategy, technology, and operations — helping global organizations deploy AI efficiently, securely, and at scale.

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