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The Boardroom Reckoning on AI: Why AI Demands a New Kind of Leadership
AI is forcing a new leadership challenge inside the enterprise, in which boards are expected to oversee a fast-moving technology they do not manage day to day, while executives are tasked with deploying it responsibly at speed. In this episode, Byron Loflin, Global Head of Board Advisory at Nasdaq, and WWT AVP of Global Cyber Advocacy Kate Kuehn explore what that means for modern governance — from board-level AI literacy and trust between directors and management to error reporting, escalation paths and the growing need for stronger oversight as AI systems become more capable and more autonomous.
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.
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.
Using Data to Pave the Way for AI and Automation
C-level leaders are looking to artificial intelligence (AI) to accelerate automation within their organizations. But in the rush to adopt AI, many forget that the success of both AI and automation hinges on an organization's data maturity.
Join Anshul Chaturvedi, a principal consultant with WWT focused on data, analytics and AI, as he talks about how organizations can mature their data capabilities to maximize their AI and automation investments. Anshul breaks down the interplay between automation and AI, pragmatic ways to start incorporating AI into an automation journey and provides tips on communicating progress to executive and line of business stakeholders.
AI at a Standstill? How Automation Unlocks Real ROI
In this episode of WWT Presents Research, host Robb Boyd and Corey Wanless, a principal solutions architect, explore ways in which organizations can automate infrastructure and processes for AI success.
Business Innovation Summit Series: Unfiltered Conversations About the Future of Enterprise AI
This special episode of the AI Proving Ground Podcast kicks off a weeklong series of daily releases from the WWT Business Innovation Summit — bringing you unfiltered conversations with the leaders shaping the next decade of AI, cybersecurity, cloud and enterprise strategy. Featuring insights from executives at Cisco, Google Cloud, Microsoft, NVIDIA, NightDragon, Morgan Stanley and more, this series offers urgent, real-time perspective on how AI is transforming the global economy, redefining risk, and rewriting the rules of competitive advantage.
You Can't Automate What You Don't Know: Why Visibility Is the Top Automation Priority
In this episode of WWT Presents Research, host Robb Boyd and Nick Thompson, a distinguished solutions architect, explore the foundational role of infrastructure visibility in automation success.
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.
Why Storage, Security and Data Readiness Now Decide AI Success
AI success now depends on whether your enterprise foundation is actually ready. Recorded live at NVIDIA GTC, this episode of the AI Proving Ground Podcast features WWT AI leader Mike Trojecki and Everpure VP of AI and Analytics Kaycee Lai discussing why business outcomes, secure data access, low-latency infrastructure, governance and storage architecture are becoming the real differentiators as organizations try to operationalize AI at scale.
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.
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.
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.