As Mark mentioned when he authored the Advancing Reliability blog series, building and operating a global cloud infrastructure at the scale of Azure is a complex task with hundreds of ever-evolving service components, spanning more than 160 datacenters and across more than 60 regions.
This post is part 1 of a two-part series about how organizations use Azure Cosmos DB to meet real world needs, and the difference it’s making to them.
This post is part 1 of a two-part series about how organizations use Azure Cosmos DB to meet real world needs and the difference it’s making to them.
This post is part 2 of a two-part series about out how organizations are using Azure Cosmos DB to meet real world needs and the difference it’s making to them.
Anomaly detection plays a vital role in many industries across the globe, such as fraud detection for the financial industry, health monitoring in hospitals, fault detection and operating environment monitoring in the manufacturing, oil and gas, utility, transportation, aviation, and automotive industries.
Multi-language speech transcription was recently introduced into Microsoft Video Indexer at the International Broadcasters Conference (IBC). It is available as a preview capability and customers can already start experiencing it in our portal.
It's exciting to see the PyTorch Community continue to grow and regularly release updated versions of PyTorch! Recent releases improve performance, ONNX export, TorchScript, C++ frontend, JIT, and distributed training. Several new experimental features, such as quantization, have also been introduced.
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.
Python support for Azure Functions is now generally available and ready to host your production workloads across data science and machine learning, automated resource management, and more.
Collaborating on data across organizations and integrating it into business decision making is foundational to digital transformation initiatives in organizations. To enable rich data collaboration, a new capability is needed to make sharing data of any size and shape, simple and governed.