About this episode

The episode discusses the importance of AI architecture over models in enterprise deployment with insights from Chetan Gupta.

As AI moves from experimentation to enterprise deployment, are organizations thinking too much about models and not enough about architecture? In this episode, Daniel and Chris talk with Chetan Gupta, Chief AI Officer at Rackspace, about the evolution from industrial AI and physical AI to today’s enterprise AI landscape. Discover how organizations can navigate the complex AI landscape responsibly and effectively as they think about AI architecture, model deployment, AI governance, and AI sovereignty. Featuring: Chetan Gupta – LinkedIn Daniel Whitenack – Website , GitHub , X Chris Benson – Website , LinkedIn , Bluesky , GitHub , X Sponsors: Midwest AI Summit: Join AI practitioners on October 15 in Indianapolis for practical sessions, hands-on discussions, and real-world AI solutions. Use code PracticalAI20 to save 20% on your registration. https://midwestaisummit.com/#tickets Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai Resources and Events: Register for upcoming webinars here ! Prior Webinars from our partner Prediction Guard Midwest AI Summit 2026

People in this episode

Hosts: Daniel Whitenack, Chris Benson

Guest: Chetan Gupta

Topics covered

• AI architecture
• model deployment
• AI governance
• enterprise AI
• AI sovereignty
• responsible AI

Keywords

• AI architecture
• enterprise AI
• model deployment
• AI governance
• AI sovereignty
• Chetan Gupta

Sponsors

Midwest AI Summit, Prediction Guard

Mentioned in this episode

Organizations: Rackspace

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