In this talk by a16z operating partner Frank Chen, given at the annual a16z Summit, Chen goes beyond the hype to look forward at how AI and automation will augment, enhance, create, and yes, replace humans…. but also highlighting what it is that makes us human to begin with.
In this video, Drago Anguelov, a Principal Scientist at Waymo, talks about developing and applying machine learning methods for autonomous vehicle perception and, more generally, in computer vision and robotics.
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
Azure Stream Analytics is a fully managed serverless offering on Azure. With the new Anomaly Detection functions in Stream Analytics, the whole complexity associated with building and training custom machine learning (ML) models is reduced to a simple function call resulting in lower costs, faster time to value, and lower latencies.
In this video, Christos Matskas (@ChristosMatskas) joins us to share the story of an interesting application he built using the Azure SDKs for .NET and Cognitive Services. We not only get an overview of creating custom vision models, but also a demo of the docker containers for cognitive services. Christos also shares how he was able to leverage .NET standard libraries to maximize code portability and re-use.
In this video from Microsoft Ignite, Mark Russinovich explores how Microsoft Azure has achieved massive, global scale, with 50 announced regions consisting of over 100 datacenters and counting. Mark takes you on a tour of Azure’s datacenter architecture and implementation innovations, describing everything from Azure’s reliable clean-energy datacenter designs, to how we are using FPGAs to accelerate networking and machine learning, to how we design storage servers to deliver ultra-low latency and high throughput, and more.
Once upon a time, I made my living programming in Java. When I left for the greener pastures of the .NET Framework, I thought for sure that I’d never see much Java again. However, I have encountered more Java of late in the big data world.
For those of you unfamiliar with Java or really out of practice with it, here’s a great two hour coding tutorial to teach you the ropes.
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.
Manoj Raheja joins Lara Rubbelke (@sqlgal) to demonstrate Azure Data Explorer (ADX) and provide an overview of the service from provisioning to querying. ADX is a fast, fully managed data analytics service for real-time analysis on large volumes of streaming data. It brings together a highly performant and scalable cloud analytics service with an intuitive query language to deliver near-instant insights.