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A Practical Playbook for AI: Driving AI Adoption in the Enterprise
Many organizations are chasing AI's promise. But who's actually delivering results? In this episode of The AI Proving Ground Podcast, we take you inside WWT's AI Day STL, where real-world success stories meet tactical, boots-on-the-ground guidance for enterprise AI transformation. It's what we call "Practical AI." This episode explores the four phases of AI maturity, why clear use cases are more valuable than code, and how agentic AI and data readiness are reshaping the enterprise landscape.
The Data Traps That Are Killing AI Initiatives
Nearly half of today's AI initiatives are dead on arrival. The culprit? The data. From disjointed systems and undefined use cases to cultures that overestimate readiness, WWT data strategists Bill Stanley and Jonathan Gassner break down why many organizations struggle and detail how you can build real momentum for AI transformation.
Hidden Infrastructure Demands of Enterprise AI
As AI pushes the limits of traditional IT infrastructure, enterprises are racing to modernize their data centers. In this episode, Mike Parham and Bruce Gray walk us through the behind-the-scenes decisions that matter — from power and cooling challenges to GPU readiness and sustainability. Whether you're modernizing or starting from scratch, this conversation is your blueprint for AI-ready infrastructure.
AI at Scale: How Cisco, NVIDIA and WWT Are Powering the Future of Enterprise AI
As AI moves from predictive analytics to real-time autonomous decision-making, enterprises face a critical challenge: scaling AI securely and efficiently. This episode of the AI Proving Ground Podcast explores key takeaways from NVIDIA GTC, the evolving Cisco-NVIDIA partnership and the foundational role AI infrastructure plays in unlocking enterprise-scale AI. Featuring WWT VP of Networking and AI Solutions Neil Anderson, NVIDIA SVP of Networking Kevin Deierling and Cisco SVP of Networking Kevin Wollenweber, the episode covers insights into networking, security, and compute innovations, and how Cisco, NVIDIA and WWT are shaping the future of AI-powered businesses.
Why AI Might Save Healthcare — And How It's Already Happening
Can AI solve the healthcare crisis? Hear from two frontline healthcare executives — Dr. Sanaz Cordes and Dr. Eric Quinones, both Chief Digital Advisors with WWT — on the groundbreaking ways AI is reshaping clinical care, restoring physician focus, and unlocking new levels of operational efficiency. Explore how healthcare organizations are implementing AI today—with use cases including ambient scribing, inbox management, predictive analytics, and automation. Learn how CIOs and clinicians are scaling AI safely and effectively, and what it means for the future of healthcare delivery.
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.
3 Easy Steps to Kickstart AI the Right Way
AI leaders these days have little time for proofs of concept. They need ROI. If you're leading AI transformation in a large organization, this episode of the AI Proving Ground Podcast is your blueprint. AI consultants Kathleen Nowicke and Yoni Malchi share how top enterprises prioritize use cases, align across business units and unlock lasting ROI, and detail a three-step process to get AI right from the start.
Inside the AI Coding Revolution: Tools, Tradeoffs and Transformation
As AI innovation intensifies, one domain is already feeling the impact: software development. In this episode, WWT experts Nate McKie and Andrew Athan explore how AI-powered coding assistants are improving developer productivity and reshaping enterprise engineering. From Copilot to agentic tools capable of autonomous code generation, they examine how organizations are navigating this transition, balancing speed with quality and redefining the role of human developers. Whether you're leading a dev team or charting your company's AI roadmap, this is a must-listen for understanding the real-world implications of AI in engineering.
AI Use Cases: Balancing Speed and Risk for Real-World Success
Many enterprises recognize AI's potential but hesitate due to risk concerns, legacy infrastructure, and data chaos. In this episode, AI experts Mike Trojecki and Ina Poecher share how businesses can take their first steps with AI by focusing on small, high-impact use cases, leveraging their existing data, and bridging the gap between technical capability and business strategy.
Assessing AI Workloads: How to Choose the Right Environment for Enterprise AI
Where should your AI workloads run? It's one of the most overlooked questions in AI strategy. From surprising constraints around power, cooling and floor space, to the growing demand for GPU-as-a-Service models, this episode delivers a field-level view of the challenges enterprises face when moving from AI proof of concept to production. You'll hear why infrastructure readiness assessments are essential, how AI workloads differ from traditional IT, and what to consider before buying that next GPU cluster.
Beyond Chatbots: How Digital Humans Are Transforming Enterprise AI Experiences
As enterprise AI strategies mature, the user interface is evolving beyond chatbots. Enter the digital human — real-time, emotionally aware, multilingual AI avatars designed to mimic human interaction with uncanny realism. In this episode of AI Proving Ground Podcast, WWT Chief Technology Advisor Ruben Ambrose and Area Director of Strategy an Innovation Eric Jones unpack their journey building WWT's own avatar, "Ellie," and offer a revealing look at the infrastructure, latency tradeoffs and feedback loops driving this frontier.
The Hidden Mechanics of AI: Understanding LLMs and Their Business Impact
Brian Vaughan and Jason Lu – two leading AI researchers at WWT – break down the latest advancements in large language models (LLMs), the rapid evolution of reasoning AI, and what it all means for businesses today. The discussion touches on DeepSeek's efficiency breakthroughs, the transition from simple pattern prediction to true reasoning, and the growing role of agentic AI in enterprise applications.