Claim OwnershipAI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology
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© 2026 AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology
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AI deployment and adoption is complex — this podcast makes it actionable. Join top experts, IT leaders and innovators as we explore AI’s toughest challenges, uncover real-world case studies, and reveal practical insights that drive AI ROI. From strategy to execution, we break down what works (and what doesn’t) in enterprise AI. New episodes every week.
86 Episodes
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AI moves trillions of dollars in milliseconds. So why won’t companies let it send a customer email? In this episode of the AI Proving Ground Podcast, Erik Anderson, CEO of Singularity University and former Topgolf leader, breaks down the real constraint on enterprise AI adoption: trust. We talk about the shift to agentic AI, how it's reshaping thought work, and the tension leaders face between productivity gains and the social contract with employees. If AI gives your team 20% of their time b...
Most personalization efforts fail long before AI becomes the problem. It fails in quieter ways. A missing identity. A disconnected signal. A decision no one owns. In this conversation, Ralph Jovine and Chris Douglas unpack why most personalization efforts stall long before AI becomes the problem. The issue is structural. Data ownership is unclear. Governance is inconsistent. Signals don’t connect across the journey. They get into what actually needs to be in place for personalization to work ...
AI can generate answers instantly. But that doesn’t mean they’re right. Most enterprise AI doesn’t fail because of the model. It fails because the data underneath it doesn’t agree. Different teams, different definitions, different outcomes. It’s subtle, and it breaks trust fast. In this episode, Paul Bruffett, VP of Data and Analytics at Jack in the Box, joins WWT’s Dan Moristro to talk about what it actually took to fix that. A multi-year modernization across core systems set the stage, but ...
Most AI strategies look good in a demo. The real challenge is getting them to run at scale. Recorded live at NVIDIA GTC 2026, this episode with Ragu Chakravarthi from Core42 and Kraig Ecker from WWT explores what it actually takes to move from AI pilots to production systems. They discuss sovereign AI as critical infrastructure, what control really means across data and operations, and why trust has to be built into every layer. From governance and observability to regulated environments, thi...
AI is writing code faster than most teams can review it. That’s the tension. Recorded live at NVIDIA GTC with Nate McKie, we get into what happens when developer speed takes off but security and quality don’t. The middle of the development process is collapsing. Code is cheap. Mistakes aren’t. So what actually has to change? We get into AI-native engineering, agentic development and the shift from code generation to code governance. From code review bottlenecks and the “hourglass effect” to m...
AI is working. Your data probably isn’t. As enterprise AI moves into production, a new constraint shows up fast. Not models. Not compute. Data. In this episode, recorded live at NVIDIA GTC, NetApp’s Tore Sundelin and WWT’s Derek Elbert get into what’s actually slowing teams down. The shift from clean, structured data to messy, high-value, unstructured data that’s harder to find, govern and use in real time. This is where things start to break. Data spread across systems. Inconsistent policies...
AI isn’t slowing down. Your data center is. As enterprise AI moves into real workloads, physical limits show up fast. Power. Cooling. Space. Timing. The conversation shifts quickly from what model to use to whether you can run it at all. In this episode, Schneider Electric CTO Jim Simonelli and WWT’s Chris Campbell talk through what happens when AI infrastructure, data center design and workload placement collide in production. Because “speed to first token” isn’t just about model performance...
AI is working. Until it isn’t. Not because the model failed, but because something behind it did. In this episode, recorded live at NVIDIA GTC, WWT’s Mike Trojecki and Everpure’s Kaycee Lai talk through what starts to show up once AI moves into real use. Data that’s harder to access than expected. Systems that slow things down. Security and governance questions that weren’t part of the original plan. It’s a different kind of conversation than most. Less about what AI can do, more about what i...
Agentic AI is getting real fast. The challenge isn’t building it anymore. It’s running it without losing control. Recorded live at NVIDIA GTC, this conversation gets into what actually changes when AI moves into production. Not in theory, but in practice. As organizations start designing for real usage, new pressure shows up. Systems get more complex. Costs become harder to predict. And security can’t be something you fix later. Cisco’s Kevin Wollenweber, NVIDIA’s Kevin Deierling and WWT’s Ne...
Most enterprise AI tries to be impressive. In a hotel, it just needs to work. No one checks in hoping to experience great AI. They want things to feel smooth, fast, intuitive — like everything is just handled. That’s the standard. At IHG Hotels & Resorts, AI is being applied with that mindset. Not as a headline, but as a way to make employees more effective and operations run cleaner behind the scenes. In this episode, IHG Chief Product and Technology Officer Jolie Fleming shares what it ...
At NVIDIA GTC 2026, the conversation shifted from model novelty to enterprise reality. In this episode of the AI Proving Ground Podcast, WWT Chief AI Advisor Tim Brooks explains why agentic AI, inference-heavy workloads and physical AI are forcing CIOs and CTOs to rethink infrastructure, governance, trust and leadership. Brooks, WWT's Chief AI Advisor, said the industry is moving beyond fascination with model releases and into the harder work of managing inference, agents, infrastructure and...
Private AI is quickly moving from niche architecture to a core enterprise AI strategy. As AI workloads move into production, leaders are rethinking where inference runs, how data stays governed and why hybrid AI infrastructure may offer the best balance of performance, cost and control. In this episode of the AI Proving Ground Podcast, VMware by Broadcom’s Chris Wolf, NVIDIA’s Chad Olds and WWT CTO Mike Taylor explore why private AI is gaining momentum across the enterprise. What began as a d...
As AI spreads beyond developers into every workflow, the differentiator shifts from tools to leadership. In this episode of the AI Proving Ground Podcast, WWT Co-Founder and CEO Jim Kavanaugh argues that winning in AI will lean heavily on culture: how fast an organization can learn, adapt and change. The new leadership challenge is moving fast without creating downstream chaos. More about this week's guest: Jim Kavanaugh is globally recognized as an innovative business executive and is renown...
AI-powered coding assistants are rapidly compressing the time it takes to build software and delivering a competitive advantage that can lead to transformational outcomes. But according to WWT Co-Founder and CEO Jim Kavanaugh, the bigger shift is organizational: companies must rethink leadership, data strategy and workforce skills to compete in an AI-native world. In this episode of the AI Proving Ground Podcast, Jim shares his vision for how coding assistants are emerging as one of the most ...
AI is accelerating everything — including your attack surface. Prompt injection. Shadow AI. Non-human identities. Automated agents making decisions at machine speed. The pressure to move fast is real. So is the risk. In this episode, Fortinet’s Aamir Lakhani and WWT’s Dave Pisarek lay out a practical path forward. No hype — just the controls that actually work. We cover: Why prompt injection isn’t going awayHow attackers hide payloads in unexpected encodingsWhy identity and access management ...
Most AI teams aren’t losing to the model. They’re losing to bad prompts. In this episode of the AI Proving Ground Podcast, WWT’s Liz Gattra breaks down the invisible tax of vague instructions, blind trust in outputs and endless iteration loops that quietly burn tokens, waste GPU cycles and drag down ROI. As generative AI moves into production, AI literacy becomes operational leverage — not a soft skill. We cover: • A practical prompt blueprint that improves output quality fast • W...
AI pilots are easy. Scaling AI across a live network is not. As organizations move beyond experimentation, the challenge isn’t better models — it’s building AI that operates like infrastructure: reliable, secure, and measurable. In this episode of the AI Proving Ground Podcast, Matt Shorts, AVP of AI at Cox Communications, joins WWT’s Greg Schoeny to share how Cox moved AI from isolated pilots into production across a customer-facing network where uptime, trust, and scale matter daily. You’ll...
As enterprises rush to deploy AI, observability is emerging as the discipline that determines whether those investments create durable value—or quietly erode it. In this episode of the AI Proving Ground Podcast, WWT's Ivan Wintersteiger, Cisco's Tapan Shah and NVIDIA's Shashank Sabhlok discuss why observability, when treated as foundational, becomes the connective tissue between infrastructure, applications, security and user experience. More about this week's guests: Ivan Wintersteiger bring...
As organizations move beyond experimentation, compute has become a deciding factor in whether AI delivers real value or stalls before production. In this episode of the AI Proving Ground Podcast, WWT VP Neil Anderson, NVIDIA VP Chris Marriott and Cisco VP Daniel McGinniss talk about how organizations are rethinking where AI runs, how it's secured and how value is measured. More about this week's guests: Neil Anderson has over 30 years of experience in AI, Software Development, Wireless, Cyber...
As AI systems grow larger and more distributed, enterprises are discovering that performance, security and time-to-value depend less on individual components and more on how well the system moves, synchronizes and protects data at scale. In this episode of the AI Proving Ground Podcast, WWT's Justin van Schaik, Cisco's Dave Jansen and NVIDIA's Taylor Allison talk about how a well-designed network fabric extends time to value, increases risk and quietly erodes the economics of AI initiatives. ...
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