Explore a candid 16-minute conference talk from AWS re:Invent 2025 that examines the technical challenges and failures encountered when attempting to process 800GB of gameplay data with AI. Dive into a real-world case study that reveals the infrastructure bottlenecks, data preparation complexities, and cost overruns that ultimately derailed an ambitious AI project. Analyze the scale, cost, and data hurdles that prevented project completion while gaining valuable insights into managing large-scale AI workloads on AWS. Learn practical lessons from this failed project to better prepare for similar challenges in your own AI initiatives, including strategies for avoiding common pitfalls in data processing, infrastructure planning, and cost management when working with massive datasets in cloud environments.