In this episode of Built for Trust, Nick and Helen Gu from InsightFinder explore how AI is transforming the way complex systems are monitored, maintained, and managed long before human teams even know there’s a problem. Helen shares a fascinating journey from early neural network experiments at NASA to building cutting-edge unsupervised learning systems that detect invisible patterns in massive data environments.

You’ll hear how today’s AI isn’t just surfacing alerts, it’s identifying root causes, reducing noise, and driving proactive resolution. We dig into the limitations of rule-based monitoring, the rise of edge intelligence, and how distributed AI models are redefining enterprise reliability.

Plus, real-world stories: a slow router that silently triggered a massive system crash, and the surprising role a forgotten Redis cache played in false fraud detection.

Whether you're a practitioner or decision-maker, this conversation will change how you think about what AI is truly capable of and what’s coming next.

New episodes of the Built for Trust Podcast come out every Thursday. Subscribe to get notified. See you next week!