About this episode

Dr. Darren interviews Dr. Helen Gu about how AI can prevent cloud outages.

Check out my new book AI Augmented Teams on Amazon or on my website paidar.ai/books. Cloud outages don’t have to be a mystery—or a recurring fire drill. Host Dr. Darren interviews Dr. Helen Gu, professor at North Carolina State University and founder/CEO of InsightFinder, about how AI for cloud operations can detect, predict, and automatically fix outages before users feel the impact. ## Key Takeaways - AI can move beyond simple alerting to **predictive outage prevention**, spotting early warning signs before they become incidents. - **Unsupervised machine learning** helps discover hidden patterns in noisy machine data without requiring large sets of labeled examples. - Real-world cloud environments are complex, with thousands of parameters, dynamic workloads, and interacting microservices that make manual troubleshooting difficult. - A **closed-loop feedback system** lets teams review AI predictions, correct mistakes, and continuously improve model accuracy. - InsightFinder’s **composite AI** approach combines predictive AI, causal inference, behavior learning, and small language models for more reliable operations. - The same data-driven approach can support **cloud monitoring…

People in this episode

Host: Dr. Darren Pulsipher

Guest: Dr. Helen Gu

Topics covered

• AI
• cloud operations
• predictive maintenance
• machine learning
• data centers
• outage prevention

Keywords

• cloud outages
• predictive AI
• machine learning
• InsightFinder
• data-driven approach

Mentioned in this episode

Organizations: North Carolina State University, InsightFinder, Amazon, paidar.ai

Products: AI Augmented Teams

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