The Hall of Human Life exhibit at the Museum of Science in Boston generates thousands of data points per day at its interactive kiosks but does not leverage modern software tools to store and analyze the nearly 10 million records. As part of the Microsoft Garage project lab, we built a prototype system allowing the Museum to host all their data in the cloud with Microsoft Azure, monitor the exhibit in realtime with a Power BI operations dashboard, and automatically detect hardware failures with an anomaly detection system in Azure Machine Learning.
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