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How to Scale Agentic AI Without Losing Control
AI is moving out of prototype mode and into production. In this episode of the AI Proving Ground Podcast, recorded live at NVIDIA GTC, leaders from Cisco, NVIDIA and WWT unpack the real job in front of enterprise executives: how to scale agentic AI, secure AI factories, manage token economics and prepare infrastructure for an inference-heavy future.
Before You Scale AI, Fix Your Data Foundation
The new AI bottleneck is whether your enterprise data can be trusted, governed, and used at speed. Recorded live at NVIDIA GTC, this episode of the AI Proving Ground Podcast features Tore Sundelin of NetApp and Derek Elbert of World Wide Technology discussing why unstructured data, policy-based governance, data classification and unified AI data pipelines are becoming critical as enterprises push toward agentic AI and production-scale inference.
Why Observability Has Become the Control Plane for Enterprise AI
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 Splunk'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.
How Jack in the Box is Building the Data Foundation for AI
What does it really take to make AI useful in the enterprise? In this episode of the AI Proving Ground Podcast, Jack in the Box VP of Data and Analytics Paul Bruffett and WWT Managing Director of AI and Data Analytics Daniel Morrisroe detail how to turn fragmented data, legacy systems and disconnected workflows into an operational foundation the business can actually use. From modular data products and self-service analytics to forecasting, personalization and the road to more autonomous systems, this conversation offers practical lessons for leaders trying to move from modernization to measurable AI outcomes.
How UAE-Based Core42 is Rethinking AI Infrastructure From the Ground Up
How do you build an AI environment the business can scale, security can defend, regulators can accept and teams can actually use? In this episode of the AI Proving Ground Podcast, Core42 CTO Raghu Chakravarthi and WWT EVP Kraig Ecker discuss why sovereignty extends beyond data residency, heterogeneous infrastructure is becoming non-negotiable and why agents will sharply increase the need for observability, security guardrails and scalable inference design.
Former NSA Cyber Director on the Emerging AI Threat Landscape
AI-powered nation-state cyber threats have entered a new phase. In this episode of the AI Proving Ground Podcast, WWT's Head of National Security and Critical Infrastructure Madison Horn joins former NSA Director Rob Joyce to break down what's changed and why business leaders should be paying close attention.
Why the AI Factory Is Becoming the Enterprise's Next Critical Infrastructure
As organizations struggle to move beyond AI pilots, a new architecture — Cisco's Secure AI Factory with NVIDIA — is emerging as a missing link between experimentation and real business outcomes. In this episode of the AI Proving Ground Podcast, WWT's Neil Anderson, Cisco's Kevin Wollenweber and NVIDIA's Chris Marriott discuss how the Secure AI Factory represents a shift from bolt-on protection to security built into the architecture itself.
What We Learned at NVIDIA GTC 2026
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.
Inside the AI Factory: Why Cisco Believes Security Will Define Our AI Future
Cisco's Nicolas Sagnes and World Wide Technology's Bob Watson outline why the next generation of AI infrastructure must be engineered as a secure, observable, full-stack system — and why enterprises relying on pilots risk falling behind.
Is Security Now a Prerequisite for AI Adoption? Inside Cisco's Secure AI Factory with NVIDIA
As companies move from chatbots to agents, the hardest work isn't prompting — it's building an always-on, governable, cost-aware system that leaders can trust. In this episode of the AI Proving Ground Podcast, Cisco's President and Chief Product Officer Jeetu Patel, NVIDIA's Vice President, Americas Partner Organization Craig Weinstein and WWT CTO Mike Taylor discuss how Cisco's Secure AI Factory with NVIDIA is designed to close the gap between experimentation and execution by treating AI as infrastructure.
The Network Is Becoming the Real Unit of AI Performance
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 and decreases risk for AI initiatives.
Why Production AI Exposes Security Gaps Organizations Can't Ignore
As enterprises move AI from experimentation to production, security failures are no longer isolated incidents—they are systemic risks embedded deep in infrastructure, data flows, and decision-making systems. In this episode of the AI Proving Ground Podcast, WWT's Istvan Berko, Cisco's DJ Sampath and NVIDIA's Ofir Arkin discuss why as AI becomes core infrastructure, security becomes the mechanism that determines whether that infrastructure scales or undermines itself.