AIPG Podcast

Is your organization ready to own AI or are you better served by leveraging the speed and scale of the cloud? In this episode of the AI Proving Ground Podcast, WWT High-Performance Architecture Director Jeff Fonke and VP of Advanced Technology Solutions Jeff Wynn break down the toughest question facing IT leaders today: should you build or buy your AI capabilities? From the economics of inference costs to hybrid cloud realities, the two Jeffs share practical strategies on private AI, workload orchestration, data readiness and overcoming the enterprise skills gap.

Organizations are racing to unlock the potential of workforce AI, but only a few have cracked adoption at scale. In this episode of the AI Proving Ground Podcast, VP of Digital Experiences Joe Berger and workforce AI expert Kait Miller break down why AI pilots stall, how to move from pockets of success to enterprise-wide impact and why employees often trust consumer AI more than company-approved tools. Kait and Joe explore the hidden gap between employee adoption and enterprise rollout, address the build vs. buy conundrum and walk through a real-world case study at WWT that slashed days of work into hours and generated new revenue.

At a time when AI feels like oxygen — powering every tool, every conversation, every strategy — security leaders at the forefront are sounding the alarm: it won't fix the fundamentals. In this episode, top voices from government, industry and the next generation of cyber talent share unfiltered perspectives on AI-augmented threats, the velocity of attacks and what it really takes to defend in 2025 and beyond. Interviews include former CISA Director Jen Easterly, former NSA Cybersecurity Director Rob Joyce and a bevy of cyber experts from inside and out of WWT.

Charged with moving fast on AI? You might be setting yourself back. In this episode of the AI Proving Ground Podcast, WWT AI expert and data scientist Ina Poecher and Chief Technology Advisor Bill Stanley break down why the organizations that win with AI won't be the ones spending the most — they'll be the ones that get the fundamentals right. From "garbage in, garbage out" to building modular, reusable solutions, they share hard-earned lessons on how to align your teams, clean your data and choose the right first use cases to create a compounding "flywheel" of success. If you're feeling the pressure to move fast, this conversation will show you why the smartest move might be to slow down.

Federal technology leaders reveal how to start small, set data‑cyber guardrails and scale fast — all without blowing the budget . Listen to Dan Carroll (Dell Federal Field CTO), Ryan Simpson (NVIDIA Chief Technologist for Public Sector Partners) and Brandon Bulldis (WWT Federal Civilian Engineering Director) discuss how federal government agencies are sprinting from AI hype to real mission impact. Hear wins like multimodal chatbots and desk‑side AI supercomputers, plus three battle‑tested rules: guardrails first, design for surge and invest in people. Watch or listen now and leave with a clear playbook for infrastructure, talent and funding.

Enterprise adoption of AI agents is spiking, with industry surveys showing most large enterprises are already piloting AI agents. But there's a lot of hype out there. In this episode of the AI Proving Ground Podcast, Technical Solutions Architect Ina Poecher and Jason Campagna, Senior Director of WWT's AI Practice, expose widespread "agent-washing," highlight practical but ROI-heavy use cases you can pursue now. Tune in to discover how agentic architecture turns generative AI hype into secure, measurable enterprise AI outcomes — and what's next for multi-agent ecosystems.

Agentic AI systems have the potential to work together, but not yet at scale. This episode breaks down two emerging standards — Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication. Both promise modular AI integration, safer data flows and agentic collaboration that actually scales. WWT engineer Sally Jankovic and AI advisor David Geddam explain why these protocols are becoming essential infrastructure for enterprise AI.

For many, AI success isn't limited by how many GPUs you can buy; it's limited by how fast those GPUs can talk to each other without tripping over the plumbing. In this episode of the AI Proving Ground Podcast, two of WWT's top networking minds —Justin van Schaik and Eric Fairfield — lay out the real choke points slowing AI projects to a crawl and how powerful, modernized network architectures are quietly rewriting the rulebook for scaling AI.