Extending the power of Azure AI to business users
Today, Alysa Taylor, Corporate Vice President of Business Applications and Industry, announced several new AI-driven insights applications for Microsoft Dynamics 365.
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.
Today we are announcing that IoT Plug and Play is now available in preview! At Microsoft Build in May 2019, we announced IoT Plug and Play and described how it will work seamlessly with IoT Central.
It’s always been a tricky business to handle mission-critical processes. Much of the technical debt that companies assume comes from having to architect systems that have multiple layers of redundancy, to mitigate the chance of outages that may severely impact customers.
Security and resource constraints are often at odds with each other. While some security measures involve making code smaller by removing attack surfaces, others require adding new features, which consume precious flash and RAM.
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.
Intelligent manufacturing transformation can bring great changes, such as connecting the sales organization with field services. Moving to the cloud also provides benefits such as an intelligent supply chain and innovations enabled by connected products.