Internet of things

We are excited to share the winners of the first Microsoft Azure AI Hackathon, hosted on Devpost.

The tech world is fast-paced, and cloud services like Azure Cosmos DB get frequent updates with new features, capabilities, and improvements.

Built-in Jupyter notebooks for Azure Cosmos DB are now publicly available. Developers, data scientists, engineers and analysts can use the familiar Jupyter notebooks experience to interactively run queries, explore and analyze data, visualize data & build, train, and run machine learning and AI models.

This month we released a new version of Azure Storage Explorer, 1.10.0. This latest version of Storage Explorer introduces several exciting new features and delivers significant updates to existing functionality.

The Marco Polo Network is now generally available on Azure to help both trade banks and corporations take advantage the R3 Corda distributed ledger to better facilitate global trade in this ever-changing world.

Today, Alysa Taylor, Corporate Vice President of Business Applications and Industry, announced several new AI-driven insights applications for Microsoft Dynamics 365.

Over the past ten years, Microsoft has seen embedded IoT devices get progressively smarter and more connected, running software intelligence near the point where the data is being generated within a network.

Composite indexes were introduced in Azure Cosmos DB at Microsoft Build 2019. With our latest service update, additional query types can now leverage composite indexes.

Accenture and Avanade won the 2019 Microsoft Internet of Things Partner of the Year award this past spring. At the Microsoft Inspire partner conference in July, Brendan Mislin, Managing Director, Industry X.

Petrofac designs, builds, operates and maintains oil, gas and renewable energy assets. The company is committed to digital transformation.

Artificial intelligence (AI) workloads include megabytes of data and potentially billions of calculations. With advancements in hardware, it is now possible to run time-sensitive AI workloads on the edge while also sending outputs to the cloud for downstream applications.

Congratulations to the PyTorch community on the release of PyTorch 1.2! Last fall, as part of our dedication to open source AI, we made PyTorch one of the primary, fully supported training frameworks on Azure.