Agentic AI speeds up root cause analysis by doing the correlation work for you: it pulls data from scattered systems, ranks the likely causes, and shows the evidence so the engineer knows where to start. It accelerates the investigation without replacing the people who resolve it.
Christoph Berlin, Vice President of Engineering for Cloud and AI at Microsoft, explains why root cause analysis after a stoppage or slowdown can take days, and walks through an example where an AI agent ranks causes by confidence. In Part 2, he covers how to run one agent across hundreds of sites.
Resources
- Microsoft for Manufacturing https://www.microsoft.com/AI/manufacturing
- More Azure resources! https://azure.com/AzureEssentials
Connect
- Christoph Berlin https://www.linkedin.com/in/christophberlin
Chapters
0:00 Why root cause analysis takes days in manufacturing
1:08 How agentic AI speeds up root cause analysis
2:11 How an AI agent ranks likely causes for engineers
Christoph Berlin, Vice President of Engineering for Cloud and AI at Microsoft, explains why root cause analysis after a stoppage or slowdown can take days, and walks through an example where an AI agent ranks causes by confidence. In Part 2, he covers how to run one agent across hundreds of sites.
Resources
- Microsoft for Manufacturing https://www.microsoft.com/AI/manufacturing
- More Azure resources! https://azure.com/AzureEssentials
Connect
- Christoph Berlin https://www.linkedin.com/in/christophberlin
Chapters
0:00 Why root cause analysis takes days in manufacturing
1:08 How agentic AI speeds up root cause analysis
2:11 How an AI agent ranks likely causes for engineers