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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.
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.
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.
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.
The CEO's Job in the AI Era: Accelerating Idea to Outcome (I2O)
As AI spreads beyond developers into every workflow, the differentiator shifts from tools to leadership. In this episode of the AI Proving Ground Podcast, WWT Co-Founder and CEO Jim Kavanaugh argues that winning in AI will lean heavily on culture: how fast an organization can learn, adapt and change. The new leadership challenge is moving fast without creating downstream chaos.
Deepfakes for Good? How AI is Powering the Next Era of Personalization
In this episode of the AI Proving Ground Podcast, Adam Dumey and Chris Roberts explore one of the more surprising — and controversial — topics in generative AI: the use of synthetic media and deepfakes in personalized customer experiences.
How AI Is Rewriting Customer Expectations Across Healthcare, Utilities and Retail
Customer expectations are shifting faster than most organizations can respond. In this episode of the AI Proving Ground Podcast, leaders from healthcare, utilities and retail break down how AI is redefining what "good" customer experience looks like — and how their industries are rethinking service models, operational workflows and human touchpoints to keep pace with a new, AI-shaped standard.
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.
Agentic AI Is Coming for Software Development — Are Enterprises Ready?
As AI coding assistants move from novelty to necessity, enterprises are discovering that the real challenge is managing what happens before and after the code is created. In this episode of the AI Proving Ground Podcast, WWT's executive AI advisor Nate McKie explains why faster code generation is only half the answer — and why leaders who don't reinvest the time they're saving are already falling behind.
Why Enterprise AI Personalization Fails Without Data Ownership
AI has raised customer expectations, but most organizations are still delivering personalization in isolated moments instead of across the full customer journey. In this episode of the AI Proving Ground Podcast, WWT Chief Digital Advisor Ralph Jovine and Senior Director of Product for Unified Commerce Chris Douglas explain unpack the foundations leaders need to get right first: customer data ownership, governance, identity resolution, decisioning and operational alignment.
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.
Invisible AI: What AI Leaders Can Learn from IHG Hotels & Resorts' AI Strategy
At IHG Hotels & Resorts, AI is being applied with a clear principle: make the employee more effective so the customer experience feels more human. That approach, according to IHG CTO Jolie Fleming, who joined us in our latest episode of the AI Proving Ground Podcast, offers a useful model for any leader trying to scale AI adoption without losing trust, control or business focus.