AI + machine learning

To reap the true value of generative AI, organizations need tools to simplify AI development, so they can focus on the big picture of solving business needs.

We are excited to announce that Microsoft has been named a Leader for the fifth year in a row in the Gartner® Magic Quadrant™ for Cloud AI Developer Services.

RAN slicing is one of the important new features of 5G networks and Microsoft has researched and produced results, making it easier for operators to use in Azure.

We are highlighting four companies who have strategically adopted Azure OpenAI Service to create more dynamic, efficient, and personalized communication methods for customers and employees alike.

In the rapidly evolving landscape of healthcare, the integration of artificial intelligence (AI) isn’t a futuristic vision: It’s a present reality. Azure OpenAI Service is transforming the way care is delivered and experienced by patients and providers alike.

We are excited to introduce Phi-3, a family of small open models with the capability of 10 times larger models, developed by Microsoft and optimized for Azure AI.

Microsoft recently launched two accelerators for industrial transformation: Azure’s adaptive cloud approach and Azure IoT Operations. These accelerators will be on display at Hannover Messe 2024 from April 22 to April 26, 2024.

Microsoft has put together several resources to help you get started. Whether you are ready to build your own copilot or you’re at the very beginning of your learning journey, read on to find the best and free resources from Microsoft on generative AI training.

Product level simulation models are routinely used in day-to-day decision making on design, reliability, and product features. Microsoft Azure HPC plays a vital role in enabling this vision for the Microsoft Surface team.

Our job at Microsoft is to help you understand how the AI era can benefit your organization and trust the AI solutions you deploy are done so safely and responsibly.

Today, we are announcing that Azure AI Search, a modern retrieval system for AI applications, now has drastically larger vector capacity and compute without any increase in price, so customers can run RAG at any scale, at a lower cost.

Fueling groundbreaking innovations, Azure AI infrastructure comprises of technology from NVIDIA, AMD, and our own AI accelerator, as we announced last November.