In this video, learn about the heat map and image layer visualizations in side of Azure Maps. Heat maps are used to represent the density of data using a range of colors. They are often used to show the data “hot spots” on a map and are great to help understand data. The heat map layer also supports weighted data points to help bring the most relevant information to the surface.

The image layer allows you to overlay georeferenced images on top of the map so that they move and scale as you pan and zoom the map. This is great for building floor plans, overlaying old maps, or imagery from a drone.

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One of the promise of IoT is to allow bringing the intelligence of the Cloud to the Edge to run IoT data analytics as close as possible to the data source. This allows to reduce latencies, optimize performance and response times, support offline scenario, comply with privacy policies and regulations, reduce data transfer cost, and more…

One thing you really have to consider when bringing Artificial Intelligence to the edge is the hardware you will need to run these powerful algorithms. Ted Way from the Azure Machine Learning team joins Olivier on the IoT Show to discuss hardware acceleration at the Edge for AI. We will discuss scenarios and technologies Microsoft develops and uses to accelerate AI in the Cloud and at the Edge such as Graphic cards, FPGA, CPU,… To illustrate all this, Ted walks us through real life scenarios and demos IoT Edge running Machine Learning vision algorithms.

Learn more about hardware acceleration for AI at the Edge: https://docs.microsoft.com/azure/machine-learning/service/concept-accelerate-with-fpgas

Create a Free Account (Azure): https://aka.ms/aft-iot

The Robot Operating System – also called ROS – is a framework for building Robotics applications. ROS is supported by a large community, which have built thousands of nodes – individual robot behaviors which can be composed into complex solutions. This ecosystem has been enabled on Windows. Learn how to get started, some of the differences and some of the reasons you’d want to use Windows over other operating systems. Check out the get started guide: https://aka.ms/ros

Leverage partner built, open sourced, Solution Accelerators to expedite your IoT solution development. Several Microsoft partners have developed solutions ranging from edge video analytics, to digital signage, to remote well monitoring for oil and gas. These are published under our partner’s GitHub repositories and free for anyone to use, rebrand, or even resell.

Visit the Device Partner Center: https://devicepartner.microsoft.com

Discover the 3rd party solution accelerators: https://aka.ms/3psa

Try out the IoT solution accelerators: https://www.azureiotsolutions.com/Accelerators

Create a Free Account (Azure): https://aka.ms/aft-iot

The ability to analyze data is a core facet of the Internet of Things. Azure Maps Spatial Operations will take location information and analyze it on the fly to help inform customers of ongoing events happening in time and space.

The Spatial Operations we are launching consist of  Geofencing, Buffer, Closest Point, Great Circle Distance and Point in Polygon. We will demonstrate geofencing capabilities, how to associate fences with temporal constraints so that fences are evaluated only when relevant, and how to react to Geofence events with Event Grid. Finally, we will talk about how other spatial operations can support geofencing and other scenarios.

Check out all that’s new in Azure Maps: https://azure.microsoft.com/blog/actuating-mobility-in-the-enterprise-with-new-azure-maps-services-and-sdks/
Tutorial on how to setup a geofence using Azure Maps at https://aka.ms/azuremapsgeofencingdoc Learn more about Azure Maps at http://aka.ms/azuremapsdocs

Tune in on March 6th on the IoT Deepdive: Location Intelligence for Transportation with Azure Maps https://aka.ms/iotshow/iotdeepdive/002

Looking to get started deploying intelligence to the edge, or how you can scale up your edge intelligence testing? The new Azure Marketplace offer “Azure IoT Edge on Ubuntu” makes both easy. Learn more in this episode of the IoT Show with Greg Manyak, PM from the Azure IoT Platform show, and Olivier.

Customers across industries, whether in an industrial setting or retail environment, are looking for ways to remotely provision and manage their IoT devices. Direct device access may not always be feasible when IoT devices are out in the field or on the factory floor. Microsoft Azure IoT Device Agent enables operators to configure, monitor and manage their devices remotely from their Azure dashboard. In this episode of the #IoTShow you will get an overview of Microsoft Azure IoT Device Agent with a demo.

Get the code: https://github.com/ms-iot/azure-client-tools

Learn more: https://aka.ms/azureiotdeviceagentv2blog

Create a Free Account (Azure): https://aka.ms/aft-iot

Find out what Microsoft Windows IoT has planned for 2019! Get an early look into how Windows IoT can help you quickly build safe, smart devices that can be the foundation of your IoT solutions.

Join the Microsoft team at an #IoTInActionMS event: http://bit.ly/2O5gPHn