The Hidden Failure Modes of AI Agents
About this episode
Ben Lorica speaks with Helen Gu, CEO of InsightFinder AI and professor at North Carolina State University, about why reliability is becoming a central challenge for enterprise AI. They discuss AI incident response, monitoring agents in production, domain-specific small language models, causal inference for operational data, and why the “last 1%” of accuracy and reliability is often the hardest part of deploying AI systems.
Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS.
Detailed show notes and transcript, can be found on The Data Exchange web site.
Get every episode summarized
Each time The Data Exchange with Ben Lorica publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The Data Exchange with Ben Lorica
Your AI Agent Is Costing You More Than You Think
The Data Exchange with Ben Lorica
Reasoning Doesn't Start With Language
The Data Exchange with Ben Lorica
An Agent Is Just an LLM in a For-Loop
The Data Exchange with Ben Lorica
The Bloomberg Terminal for AI Compute
The Data Exchange with Ben Lorica