Microsoft Case Studies

Preventing flood disasters with Cortana Intelligence Suite

Researchers from the University of Texas at Austin (UT Austin) are collaborating with other researchers, federal agencies, commercial partners, and first responders to create the National Flood Interoperability Experiment (NFIE). The goals of the NFIE include standardizing data, demonstrating a scalable solution, and helping to close the gap between national flood forecasting and local emergency response. The objective is to create a system that interoperates between different publically available data sources to model floods, based on predictions.

Cortana Intelligence Suite – Turn Research data into Insights

    • Utilize the latest in Machine Learning platform.
    • Leverage and Analyze Data with SQL, HDInsight (Hadoop) and Power BI.
    • Leverage Cognitive Services (Computer vision, speech recognition, hearing).
    • Data Science Virtual machine for researchers details here.

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