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Less about Models; More about Architecture

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00:45:56
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ABOUT THIS EPISODE

Less about Models; More about Architecture

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.

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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

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IN THIS EPISODE

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SHOW NOTES 🔗

00:00:00Welcome to Practical AI Podcast!
00:01:21Chetan Gupta's Background and Career Path
00:04:01The Evolution of Industrial AI
00:07:42Understanding Physical AI and Its Applications
00:11:00Cultural Perspectives on Robotics and AI
00:14:37Sponsor: Midwest AI Summit
00:15:51AI's Writing Capabilities and Limitations
00:22:15Governance and Assurance in AI Deployment
00:24:22Navigating Open Models and Data Sovereignty
00:27:18Sponsor: Prediction Guard
00:28:17Understanding Sovereignty in AI for Enterprises
00:33:06Building Effective AI Architectures
00:38:03Evaluating AI Models for Consistent Outcomes
00:41:30Challenges and Future Directions for AI at Rackspace
00:44:54See you next time!

TRANSCRIPT 🔗

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