AI Doesn’t Break Where You Think: How Storage and Data Readiness Now Decide AI Success
About this episode
The episode discusses the challenges faced when AI is implemented in real-world scenarios, focusing on data accessibility and system performance.
AI is working. Until it isn’t. Not because the model failed, but because something behind it did. In this episode, recorded live at NVIDIA GTC, WWT’s Mike Trojecki and Everpure’s Kaycee Lai talk through what starts to show up once AI moves into real use. Data that’s harder to access than expected. Systems that slow things down. Security and governance questions that weren’t part of the original plan. It’s a different kind of conversation than most. Less about what AI can do, more about what i...
More episodes of AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology
- Your AI Looks Smart. Your Data Disagrees.
- From AI Demo to Production Systems You Can Trust
- AI Is Writing Code Faster Than You Can Review It
- Before You Scale AI, Fix Your Data
- AI Speed Starts in the Data Center
- Agentic AI at Scale: How to Build Without Losing Control
Explore listener stats, chart rankings, contacts and more on the AI Proving Ground Podcast: Exploring Artificial Intelligence & Enterprise AI with World Wide Technology podcast page.