Solution architecture: Predictive insights with vehicle telematics
Modern vehicles contain multiple sensors, giving them the ability to track and monitor millions of events every second. Based on current predictions, most of these cars will be connected to the Internet by 2020.
This solution demonstrates how car dealerships, vehicle manufacturers and insurance companies can use Cortana Intelligence and Azure to gain predictive insights on vehicle health and driving habits. Capture live streaming data at a global scale and analyse it in real time to address potential issues and discover new opportunities.
Tapping into the wealth of data that’s generated by these smart vehicles can help you offer best-in-class safety, reliability and driving experience.
Deploying to Azure
Use the following pre-built template to deploy this architecture to AzureDeploying to Azure
|Event Hubs ingests diagnostic events and passes them on to Stream Analytics and an Azure ML Web Service.|
|Stream Analytics accepts the input stream from Event Hubs, calls an Azure ML Web Service to do predictions, and sends the stream to Azure Storage and Power BI.|
Machine Learning Studio
|Machine Learning helps you easily design, test, operationalise and manage predictive analytics solutions in the cloud and deploy web services that can be called by Stream Analytics and Azure Data Factory.|
|Azure Storage stores diagnostic events stream data from Stream Analytics.|
|Azure Data Factory uses HDInsight to run Hive queries to process the data and load it into Azure SQL Database.|
|Data Factory uses HDInsight to process data and load it into Azure SQL Database.|
|SQL Database is used to store and data processed by Data Factory and HDInsight and is accessed by Power BI for analysis of the telemetry data.|
|This solution uses Power BI, but others use Power BI Embedded to analyse the telemetry data.|
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