Ever walked around a museum and wondered how they keep those nice chilly temperatures around the building? No? Me neither! That is until I had to figure out how to build a machine learning model to do just that.

This talk is the story of the process we followed to implement a system that controls the temperature and humidity inside different areas in a museum, the challenges we found when dealing with environments that are constantly changing and how we used a combination of Azure IoT hub, Cosmos DB, Azure Functions and Azure Machine Learning Studio to achieve the project’s goals. We will also discuss some bumps on the road and what we learned from them.

By the end of this talk, you will be able to apply the concepts and tools reviewed in this session to tackle machine learning projects in your organization.