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The Ferrari Problem: Rethinking How Enterprises Build AI
As enterprises push AI out of pilots and into production, the constraints are becoming clearer—and harder to ignore. In this episode, Intel's Lynn Comp and World Wide Technology's Mike Trojecki unpack what 2025 revealed about AI infrastructure, why "AI equals GPU" is an increasingly risky assumption and how agentic systems are forcing organizations to rethink governance, sovereignty, and centers of excellence.
Cloud, FinOps and AI: What You Need to Know About Unit Economics, GPUs and the ROI Flywheel
AI has pushed cloud into overdrive. In this episode of the AI Proving Ground Podcast, two of our top cloud experts — Jack French and Todd Barron — reset the approach and detail why cloud is the launchpad but portability is the strategy; how to start greenfield with containers and abstraction; what a real FinOps model for AI looks like (unit economics, tagging, token/GPU visibility); where neo clouds fit versus hyperscalers; and how to handle cross-cloud risk and skill gaps; and the governance moves that accelerate—not restrict—innovation.
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 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.
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 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.
The Shift from AI Pilots to AI Infrastructure
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.
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.
Is Prompt Engineering Dead?
From the hidden cost of bad prompts to the shift toward agents and orchestrated systems, AI evangelist Liz Gattra discusses why prompt engineering is still foundational to enterprise AI adoption, and what organizations are getting wrong and how to fix it. If you're responsible for scaling AI beyond experimentation, this episode of the AI Proving Ground Podcast will recalibrate how you think about workforce readiness.
Executive Leadership in the Age of AI: Lessons from WWT Co-Founder and CEO Jim Kavanaugh
AI is reshaping business faster than any technology in history. But while employees are already using AI daily, enterprises are struggling to capture value at scale. In this episode of the AI Proving Ground Podcast, WWT Co-Founder and CEO Jim Kavanaugh explains why executive leadership is the critical factor in moving beyond pilots, how companies should build the right foundations for AI and why waiting on the sidelines may be the biggest risk of all.