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When AI Starts to Act on Its Own, Who's in Control?
As artificial intelligence moves from prediction to action, a new security frontier is taking shape. In this episode, Zscaler's Head of AI Innovation Phil Tee and WWT's VP of Global Cyber Chris Konrad explore the rise of autonomous agents, the evolution of Zero Trust and what it means to secure AI itself. From poisoned prompts to quantum threats, they warn the biggest risk isn't just deploying AI — it's trusting it. A sharp, real-world look at how enterprises can protect their future as machines begin to make decisions of their own.
How AI Agents Are Transforming IT Ops
AI agents are moving from hype to the heart of enterprise IT. In this episode of the AI Proving Ground Podcast, Eric Jones and Ruben Ambrose — two leading AI experts — explore how intelligent, human-guided systems are transforming IT service management, incident response and operational scale to deliver faster resolutions, stronger security and smarter decisions across the enterprise.
The New Innovation Factory: Blueprints for AI-Native, Agentic Engineering
In an era where software and data are pivotal, leveraging the right AI tools – and the right people and processes – can transform software development and IT operations. This session highlights examples of how applied practices across data architecture and AI integration enhanced efficiency, scalability, and innovation across the organization. Leaders will discover how aligning data strategies with AI outcomes can drive superior use cases and operational excellence, offering unparalleled value to enterprises of all sizes.
Building AI-Native Nations with Core42's Edmondo Orlotti
Core42 Chief Growth Officer Edmondo Orlotti dives into how Core42 and G42 are building sovereign, national-scale AI infrastructure and what enterprises can learn as they face their own challenges with data governance, GPU scarcity, fragmented environments and global regulatory pressure.
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.
Scaling AI Across the Workforce to Empower Every Employee
In 2024, organizations laid the groundwork for AI transformation, and now in 2025, it's time to cement your AI strategy. Join WWT experts David Rosenblatt and Mike Davis as they share insights from our 2025 Digital Workspace Priorities research report. You'll hear their unique perspectives on treating AI like a new employee and guidance on transitioning from proof-of-concept to organization-wide AI implementation so you can empower every employee.
Private AI vs. Cloud: How Enterprise Leaders Can Make Smarter Build-or-Buy Decisions
Is your organization ready to own AI or are you better served by leveraging the speed and scale of the cloud? In this episode of the AI Proving Ground Podcast, WWT High-Performance Architecture Director Jeff Fonke and VP of Advanced Technology Solutions Jeff Wynn break down the toughest question facing IT leaders today: should you build or buy your AI capabilities? From the economics of inference costs to hybrid cloud realities, the two Jeffs share practical strategies on private AI, workload orchestration, data readiness and overcoming the enterprise skills gap.
AI's Trust Problem: What Great Leaders Know That Most Don't with Great Place to Work CEO Michael Bush and WWT CTO Mike Taylor
Artificial intelligence investment is exploding, but adoption often stalls. In this episode of the AI Proving Ground Podcast, Great Place to Work CEO Michael Bush and WWT CTO Mike Taylor unpack the real reason why: trust. They reveal how culture, leadership and access — not just technology — determine whether AI pilots fail or flourish, and why people-first leadership may be the ultimate competitive advantage in the age of AI.
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.
Cisco AI Canvas
AI Canvas is Cisco's first Generative UI for cross-domain IT-a shared, intelligent workspace that brings real-time telemetry, AI insights, and team collaboration into one view.
Can AI Be Trusted to Run Critical Networks?
Artificial intelligence is firmly in the heart of the world's most critical infrastructure — the massive networks that keep our digital lives running. In this episode of the AI Proving Ground Podcast, two of our top trusted advisors to the world's largest network operators — Dave Clough and Yohannes Tafesse — break down the high-stakes reality of applying AI at scale, the often-overlooked work of preparing data and building trust, and why the lessons emerging from telecom will shape how every enterprise approaches AI in mission-critical environments.
AI Agents: Scaling Your Digital Workforce
Enterprise adoption of AI agents is spiking, with industry surveys showing most large enterprises are already piloting AI agents. But there's a lot of hype out there. In this episode of the AI Proving Ground Podcast, Technical Solutions Architect Ina Poecher and Jason Campagna, Senior Director of WWT's AI Practice, expose widespread "agent-washing," highlight practical but ROI-heavy use cases you can pursue now. Tune in to discover how agentic architecture turns generative AI hype into secure, measurable enterprise AI outcomes — and what's next for multi-agent ecosystems.