AIPG Podcast

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.