An Ugly Sweaters are a great tradition but how can we make them even better (https://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!

How can organizations do more with their data using the and AI capabilities of Azure Cognitive Search.

Watch this video to see 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.

 

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Science fiction draws its inspiration from science and, in return, science fiction often inspires science. Think of the Star Trek communicator from the 1960s that evolved into the cellphone of the 90s.

Here’s great video exploring the intersection of hard science and science fiction and how one inspires the other. The cast of The Expanse sits down with brilliant minds from Blue Origin to discuss life beyond our planet.

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 showcase correlated subqueries and examples of how they can make it easier to query arrays in Azure Cosmos DB.

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              There are a lot of new technologies coming out at an ever increasing pace.

              How do you keep up?

              Enter Microsoft Learn: the easiest way to learn products and services through task-based, interactive learning.

              With hundreds of free courses, localized into 23 different languages, covering Azure, Dynamics, Power Apps, Flow, with more coming.

              Whether you’re just starting or an experienced professional, our hands-on approach helps you arrive at your goals faster, with more confidence and at your own pace.

              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.

              What is the universal inference engine for neural networks?

              Microsoft Research just posted this video exploring ONNX.

              Tensorflow? PyTorch? Keras? There are many popular frameworks out there for working with Deep Learning and ML models, each with their pros and cons for practical usability for product development and/or research. Once you decide what to use and train a model, now you need to figure out how to deploy it onto your platform and architecture of choice. Cloud? Windows? Linux? IOT? Performance sensitive? How about GPU acceleration? With a landscape of 1,000,001 different combinations for deploying a trained model from some chosen framework into a performant production environment for prediction, we can benefit from some standardization.