Token Economy and AI Agents: The Final Hurdles in Enterprise Deployment

About this episode

The episode discusses the challenges and opportunities in AI adoption and enterprise technology with insights from industry perspectives.

In this episode, Frank La Vigne sits down with his Red Hat colleague Christopher Newland for a deep dive into the evolving challenges and opportunities at the intersection of AI, open source, and enterprise technology. Fresh off attending both IBM Think and Red Hat Summit, Christopher Newland shares insights from two very different industry perspectives—executive strategy and hands-on engineering. Together, they explore the elusive “last mile” problem in AI adoption, the rise of agentic systems, the critical role of harnesses and runtimes, and why memory management is becoming the next frontier. Plus, they discuss the practical realities and future potential of tools like OpenShift AI, IBM Bob, and open source alternatives. Whether you’re a developer grappling with implementation details or a leader focused on ROI, this episode has something for everyone navigating today’s fast-changing AI landscape. Links Christopher on LinkedIn - https://www.linkedin.com/in/cjnuland/ Watch this episode on YouTube - https://www.youtube.com/watch?v=xlkPPt5YeY0 Time Stamps 00:00 Comparing IBM Exec and Red Hat Conferences 05:24 Challenges in AI implementation 06:56 Challenges in scaling…

People in this episode

Host: Frank La Vigne

Guest: Christopher Newland

Topics covered

• AI adoption
• open source
• enterprise technology
• agentic systems
• memory management
• microservices

Keywords

• AI
• open source
• enterprise
• microservices
• memory management
• OpenShift AI
• IBM Bob

Mentioned in this episode

Organizations: Red Hat, IBM

Products: OpenShift AI, IBM Bob

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