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IT Infrastructure as a Conversation

Neil C. Hughes

What does it really take to power the digital-first world we now live in? IT Infrastructure as a Conversation explores this question with purpose and insight.

As part of the Tech Talks Network, this podcast focuses on the core systems that make digital transformation possible. From cloud and networking to data management, storage, and analytics, we speak with the leaders responsible for building and maintaining the foundations of enterprise technology.

Each episode features thoughtful conversations with public sector innovators, enterprise architects, business technologists, startup founders and strategic thinkers. We examine how infrastructure decisions influence business outcomes, how to balance reliability with innovation, and why rethinking legacy systems does not have to mean massive cost or disruption.

We also look at the cultural side of infrastructure. What happens when strategy meets operational reality? How do leaders inspire change in complex environments? And where should businesses start if they want to future-proof without overcomplicating?

This is a podcast for those who understand that infrastructure is more than technology. It is the foundation on which everything else depends.

If you're ready to rethink how infrastructure is discussed, delivered, and developed, this is your conversation.

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  • 21 episodes
  • Avg 28 min
  • English

Episodes 21

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  • #8
    Jun 2, 2025 · 39 min

    Is AI Infrastructure Broken? A Candid Conversation with Volumez

    Is AI Infrastructure Broken? A Candid Conversation with Volumez AI adoption is accelerating, but most enterprises are still stuck in the pilot phase. Cloud costs keep climbing, GPUs go underutilized, and data pipelines struggle to keep pace. If AI is the future, why is the infrastructure built to support it so often stuck in the past? In this episode, recorded live in Silicon Valley during the IT Press Tour, I sit down with John Blumenthal, Chief Product Officer at Volumez, and Diane Gonzalez, Senior Director of Business Development and Product. Together, we unpack what is really holding AI back and explore how Data Infrastructure as a Service (DIaaS) could change the equation. We explore: Why traditional AI infrastructure models are inefficient and unsustainable How DIaaS enables just-in-time, automated infrastructure tuned to each workload The role of GPU and data scientist efficiency in determining AI ROI How Volumez achieved industry-leading results in the MLCommons benchmark Why hybrid and multicloud strategies demand a fundamentally different infrastructure approach John and Diane share firsthand insights from working at the intersection of data, cloud, and AI infrastructure. They argue that achieving meaningful return on AI investment requires more than hardware upgrades or clever provisioning. It means embracing automation, profiling cloud capabilities in real time, and architecting pipelines that adapt to the specific demands of each phase in AI and ML workflows. Whether you're building AI platforms, running data science teams, or managing cloud infrastructure, this conversation offers a grounded look at how to make AI actually scalable. Are you wasting your most valuable resources or are you ready to run AI workloads at full speed with none of the bloat?

Showing 21–21 of 21 episodes