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Inside the AI Factory: Dell's AI Data Platform
Rather than chasing GPUs and one-off pilots, Dell's Allen Clingerman and World Wide Technology's Matt Halcomb argue that the winning AI "factories" will be built on use-case clarity, data sovereignty and flexible, end-to-end infrastructure that can keep pace with a fast-moving market.
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.
NightDragon's Dave DeWalt and WWT's Kate Kuehn on Who Owns AI When It Breaks
NightDragon Founder and CEO Dave DeWalt and WWT's Kate Kuehn join the AI Proving Ground Podcast to unpack why 2026 marks a shift from AI experimentation to accountability — and what that means for cybersecurity, boards and enterprise leaders navigating a faster, more volatile global threat landscape powered by AI.
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.
Google Cloud COO Francis deSouza on the New Math of Enterprise AI
In this episode of the AI Proving Ground Podcast, Google Cloud COO Francis deSouza explains why enterprises are shifting from experimentation to intentional, top-down AI deployment. and why a strong data strategy now determines who captures real value.
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.
Inside the AI Factory: NVIDIA's Playbook for Building AI at Scale
NVIDIA's John Gentry and WWT's Derek Elbert outline how AI factories are evolving from isolated GPU clusters into flexible, multi-tiered, distributed systems — and why data strategy, security and ecosystem partnerships now determine whether enterprises can keep pace.
Security Chiefs Sound Alarm Over 'Naked AI'
F5's Shawn Wormke and WWT's Chris Konrad say the rapid operationalization of AI is creating a widening gap between innovation and protection—leaving most organizations unprepared for real-world threats, governance failures and the coming quantum era.
Inside the AI Factory: HPE's Blueprint for Production-Grade AI
HPE's Craig Dillman and WWT's Earl Dodd explain why AI Factories rooted in decades of supercomputing expertise are becoming essential infrastructure for enterprises seeking to operationalize AI at scale, ensure sovereignty and brace for next year's data bottleneck.
Enterprise AI Adoption: How Workforce AI Is Changing the Future of Work
Organizations are racing to unlock the potential of workforce AI, but only a few have cracked adoption at scale. In this episode of the AI Proving Ground Podcast, VP of Digital Experiences Joe Berger and workforce AI expert Kait Miller break down why AI pilots stall, how to move from pockets of success to enterprise-wide impact and why employees often trust consumer AI more than company-approved tools. Kait and Joe explore the hidden gap between employee adoption and enterprise rollout, address the build vs. buy conundrum and walk through a real-world case study at WWT that slashed days of work into hours and generated new revenue.
What Cisco Live 2025 Revealed About the Future of Enterprise AI
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.
Model Context Protocol (MCP) and Agent-to-Agent (A2A): The Future of Enterprise AI
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.