AIPG Podcast

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, and detail how you can build real momentum for AI 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.

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 systems are only as trustworthy as the data they're trained on — but what happens when that data is intentionally corrupted? WWT's Justin Hadler and Chance Cornell break down the growing threats of data poisoning and prompt injection, explore the challenges of securing AI pipelines and dive into why the next big cybersecurity frontier starts inside the model.

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.

Can deepfakes go from dangerous to delightful? 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. You'll learn: what deepfakes really are and why they're no longer just a security threat; how AI-powered personalization is reshaping the customer experience; and the ethical and technical challenges of using AI-generated content responsibly.

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.

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.