Microsoft has just announced its cross Azure-IoT collaboration, which will enable Azure IoT customers to implement IoT spatial analytics using Azure Maps, thereby simplifying the use of location and spatial intelligence used in conjunction with IoT messaging.
Azure Maps will now provide geographic context and insights based on IoT information; for example, a geofence based on the predetermined route of a delivery truck can be created and stored in Azure Maps, and can be later referred to during its transit. Any diversions taken can be communicated through Azure Event Grid.
Like Azure IoT, data collected from sensors will lead to insights; but what’s exclusive to Location of Things is that these insights will go on to prompt specific actions, exactly where they’re needed.
On Microsoft’s blog, the company explains how the ability to make real-time decisions will improve a company’s overall productivity:
When you know where you have issues or opportunities, you can then make informed decisions of where to deploy resources, where to deploy inventory, or where to withdraw them. Run this over time and with enough data and you have artificial intelligence you could deploy at the edge to help with real-time decision making. Have enough data coming in fast enough and you’d be making decisions fast enough to predict future opportunities and issues—and where to deploy resources before you need them.
Even if the company cannot provide location via IoT messages natively, it can via RevIP, WiFi and cell tower triangulation.
Read Microsoft’s tutorial describing how to implement IoT spatial analytics using Azure Maps here.