AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology

AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology

Author: World Wide Technology: Artificial Intelligence Experts Language: English Episodes: 85
The AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology is a weekly conversation focused on moving artificial intelligence from theoretical potential to tangible business results. Hosted by the artificial intelligence experts at World Wide Technology, this podcast directly addresses the intricate reality of implementing AI within complex organizations. Each episode features candid discussions with top experts, IT leaders, and innovators who are actively navigating this landscape. The dialogue centers on practical insights, dissecting real-world case studies that reveal what genuinely drives AI return on investment. You'll hear detailed explorations of the toughest challenges teams face, from initial strategic alignment and data foundation work to the final stages of deployment and scaling. The goal is to demystify the process, breaking down both successful approaches and common pitfalls encountered in enterprise AI. This isn't about futuristic speculation; it's a grounded examination of the tools, processes, and decisions that separate promising pilots from production-ready systems. Tune in for a clear-eyed, actionable perspective on how leading companies are building, integrating, and leveraging AI to solve concrete business problems.
Episodes
Your AI Looks Smart. Your Data Disagrees. [not-audio_url] [/not-audio_url]

Duration: 45:09
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,…
From AI Demo to Production Systems You Can Trust [not-audio_url] [/not-audio_url]

Duration: 37:45
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 actu…
AI Is Writing Code Faster Than You Can Review It [not-audio_url] [/not-audio_url]

Duration: 30:08
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…
Before You Scale AI, Fix Your Data [not-audio_url] [/not-audio_url]

Duration: 33:11
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…
AI Speed Starts in the Data Center [not-audio_url] [/not-audio_url]

Duration: 30:25
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 c…
Agentic AI at Scale: How to Build Without Losing Control [not-audio_url] [/not-audio_url]

Duration: 34:11
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 producti…
OpenClaw, Inference, AI Factories: What We Learned at NVIDIA GTC 2026 [not-audio_url] [/not-audio_url]

Duration: 25:29
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…
Why Private AI Is Winning in the Enterprise [not-audio_url] [/not-audio_url]

Duration: 44:25
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 infrastr…

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