Protecting Humanity's Treasures with Machine Learning
summary
A project to control museum temperature and humidity using machine learning is described, including the process for implementing a monitoring and control system, handling continuously changing environments, and the cloud technologies used to meet project goals. The talk also covers practical challenges encountered during deployment and how those problems were resolved.
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chapters (10)
- 0:00Introduction
- 3:18Manual problem and monitoring
- 5:03ML model solution
- 8:51System architecture and flow
- 9:55Schedule and evolution
- 11:21Azure IoT Hub demo
- 14:57Azure ML Studio demo
- 19:12Microsoft Fabric demo
- 20:58Key lessons learned
- 25:13Conclusions and contact
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