AIPG Podcast

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 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.

Jack in the Box CTO Doug Cook and WWT Chief Digital Advisor Charlie Lawhorn detail how a multi-year modernization sprint paved the way for advancements in AI — and what every business can learn from the fast-food chain's journey. Doug and Charlie offer a candid conversation that delivers a playbook for prioritizing AI use cases, funding innovation in capital-constrained environments and rolling out AI with minimal disruption.

At Cisco Live 2025, the networking giant rolled out a sweeping agenda to make AI not just powerful, but practical — and secure. In this episode, we caught up with leaders from Cisco, NVIDIA and WWT to talk about what this year's announcements actually mean for enterprise teams tasked with building scalable, secure, AI-ready infrastructure. From the rise of the Cisco Secure AI Factory with NVIDIA to the reality of agentic workflows and persistent inference traffic, this episode unpacks the architectural shifts reshaping the modern data center.

AI leaders these days have little time for proofs of concept. They need ROI. If you're leading AI transformation in a large organization, this episode of the AI Proving Ground Podcast is your blueprint. AI consultants Kathleen Nowicke and Yoni Malchi share how top enterprises prioritize use cases, align across business units and unlock lasting ROI, and detail a three-step process to get AI right from the start.