Explore the Metropolitan Museum's collection using Cognitive Services on Spark. [00:39] – Description of the Met's Open Access initiative [01:49] – Demo: enrich the Met's dataset with intelligent annotations using Computer Vision service on Spark [05:00] – Demo: push intelligent annotations to Azure Cognitive Search [05:17] – Demo: use Art Explorer to explore the Met's collection with intelligent annotations from above Additional information: Customer Story- The MetThe AI Show's Favorite links: Don't miss new episodes, subscribe to the AI Show Create a Free account (Azure) Fast ML Medium | Francesca Lazzeri Deep Learning vs. Machine Learning Get Started with Machine Learning

Let's take a step back in a new mini-series that I like to call Xamarin.Forms 101. In each episode we will walk through a basic building block of Xamarin.Forms to help you build awesome cross-platform iOS, Android, and Windows applications in .NET. This week we take a look at building the theme of your XAML app to be consistent across pages using control templates. Show Notes: Xamarin.Forms Control Template DocumentationControl Template Creation WalkthroughNever Miss an Episode: Follow @TheXamarinShowUseful Links: Learn more about Xamarin, Xamarin.Forms, & Cross-platform developmentXamarin Developer Center & BlogMicrosoft Learn Self-Guided TrainingCreate a Free Account (Azure)Xamarin Developers YouTube ChannelXamarin on Twitter

In this short video, Maira and Kendra will show you how to use local functions in C#. To learn more about other C# features, head over to doc.microsoft.com/dotnet/csharp. Useful Links Local FunctionsWhat's new in C# 7.0

In this short video, Maira and Kendra will give you a quick look at the async main language that is available in C#. To learn more about other C# features, head over to doc.microsoft.com/dotnet/csharp. Useful Links What's new in C# 7.1Asynchronous programming with async and awaitAsync in-depth

An Ugly Sweater is great—but what's even better (aka.ms/IoTShow/UglySweater) is an IoT-enabled Ugly Sweater. In this episode of the IoT Show, Olivier Bloch is joined by Jim Bennett, a Senior Cloud Advocate at Microsoft. Jim has built an Ugly Sweater using Azure IoT Central, Microsoft's IoT app platform, and a Raspberry Pi Zero. Dive into Jim's Python code and learn how Azure IoT Central is able to connect IoT devices to the cloud faster than any other platform. See how Jim uses IoT Central's extensibility APIs to control his Ugly Sweater via Twitter. This code is on GitHub for you to play with and extend. Get started today! Project Code on GitHubAzure IoT Central OverviewAzure IoT Central Learning PathAzure IoT Central Documentation

In this session, we'll be covering how you can query data from Big Data Cluster Data Pools. Learn more about Data Pools.

Tim Sander joins Scott Hanselman to discuss composite indexes and correlated subqueries using the SQL API in Azure Cosmos DB. A Request Unit, or RU, is the measure of throughput in Azure Cosmos DB. Learn how to optimize queries with a composite index to decrease the RUs needed for a given query. They also showcases correlated subqueries and examples of how they can make it easier to query arrays in Azure Cosmos DB. [0:01:15] - Demo: composite indexes [0:04:20] - Demo: correlated subqueries Indexing policies in Azure Cosmos DB - Composite IndexesSQL subquery examples for Azure Cosmos DBAzure Cosmos DB workshop labs (GitHub)Azure Cosmos DB overviewCreate a free account (Azure)

Anavi Nahar joins Donovan Brown to show how virtual network peering enables you to connect networks seamlessly in Azure Virtual Network. The virtual networks appear as one for connectivity purposes. The traffic between virtual machines uses the Microsoft backbone infrastructure. Like traffic between virtual machines in the same network, traffic is routed through Microsoft's private network only. [0:02:08] - Demo Azure Virtual Network peeringWhat is Azure Virtual Network?Azure Virtual Network overviewTroubleshoot virtual network peering issuesCreate a free account (Azure)

In this session, we'll be covering an overview of compute pools in Big Data Clusters. Learn more about Compute Pools.

Show how organizations do more with their data using the and AI capabilities of Azure Cognitive Search. I'll show how they can take data from databases and files and easily mine it for additional knowledge, allowing them to better explore and understand their information. Additional information: DocsThe AI Show's Favorite links: Don't miss new episodes, subscribe to the AI Show Create a Free account (Azure) AI Blog Fast ML MIT News | AI Medium | Francesca Lazzeri Deep Learning vs. Machine Learning Get Started with Machine Learning